Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- runs/Sep24_06-30-26_COE-CS-sv003/events.out.tfevents.1727159729.COE-CS-sv003.774726.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2653 -0
README.md
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
5 |
+
tags:
|
6 |
+
- trl
|
7 |
+
- sft
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: feedback_p0.1_seed42_level2_syntaxdirtybatch16_reverse
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# feedback_p0.1_seed42_level2_syntaxdirtybatch16_reverse
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 1e-05
|
39 |
+
- train_batch_size: 4
|
40 |
+
- eval_batch_size: 1
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 4
|
44 |
+
- total_train_batch_size: 16
|
45 |
+
- total_eval_batch_size: 4
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: cosine
|
48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
49 |
+
- num_epochs: 1
|
50 |
+
|
51 |
+
### Training results
|
52 |
+
|
53 |
+
|
54 |
+
|
55 |
+
### Framework versions
|
56 |
+
|
57 |
+
- Transformers 4.44.2
|
58 |
+
- Pytorch 2.3.1+cu121
|
59 |
+
- Datasets 2.19.1
|
60 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 194409010298880.0,
|
4 |
+
"train_loss": 0.5086988852623655,
|
5 |
+
"train_runtime": 16625.9643,
|
6 |
+
"train_samples": 98952,
|
7 |
+
"train_samples_per_second": 1.787,
|
8 |
+
"train_steps_per_second": 0.112
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.44.2"
|
6 |
+
}
|
runs/Sep24_06-30-26_COE-CS-sv003/events.out.tfevents.1727159729.COE-CS-sv003.774726.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfeba154f7ecaea31cfc46476458f13e44be295d24885f01358b04f55bf3d8ca
|
3 |
+
size 84271
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 194409010298880.0,
|
4 |
+
"train_loss": 0.5086988852623655,
|
5 |
+
"train_runtime": 16625.9643,
|
6 |
+
"train_samples": 98952,
|
7 |
+
"train_samples_per_second": 1.787,
|
8 |
+
"train_steps_per_second": 0.112
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2653 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1857,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0005385029617662897,
|
13 |
+
"grad_norm": 22.7613713160104,
|
14 |
+
"learning_rate": 5.376344086021506e-08,
|
15 |
+
"loss": 1.3472,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0026925148088314485,
|
20 |
+
"grad_norm": 22.37683485347051,
|
21 |
+
"learning_rate": 2.688172043010753e-07,
|
22 |
+
"loss": 1.334,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.005385029617662897,
|
27 |
+
"grad_norm": 16.198717013287386,
|
28 |
+
"learning_rate": 5.376344086021506e-07,
|
29 |
+
"loss": 1.3098,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.008077544426494346,
|
34 |
+
"grad_norm": 12.105460048613201,
|
35 |
+
"learning_rate": 8.064516129032258e-07,
|
36 |
+
"loss": 1.1643,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.010770059235325794,
|
41 |
+
"grad_norm": 7.514844224376465,
|
42 |
+
"learning_rate": 1.0752688172043011e-06,
|
43 |
+
"loss": 1.0474,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.013462574044157244,
|
48 |
+
"grad_norm": 3.8632002795574367,
|
49 |
+
"learning_rate": 1.3440860215053765e-06,
|
50 |
+
"loss": 0.9317,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.01615508885298869,
|
55 |
+
"grad_norm": 3.400445342173989,
|
56 |
+
"learning_rate": 1.6129032258064516e-06,
|
57 |
+
"loss": 0.8826,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.01884760366182014,
|
62 |
+
"grad_norm": 2.9898366351100547,
|
63 |
+
"learning_rate": 1.881720430107527e-06,
|
64 |
+
"loss": 0.8635,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.021540118470651588,
|
69 |
+
"grad_norm": 2.8585969196090373,
|
70 |
+
"learning_rate": 2.1505376344086023e-06,
|
71 |
+
"loss": 0.8577,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.024232633279483037,
|
76 |
+
"grad_norm": 3.0122772432907277,
|
77 |
+
"learning_rate": 2.4193548387096776e-06,
|
78 |
+
"loss": 0.8418,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.026925148088314487,
|
83 |
+
"grad_norm": 3.0903177647257336,
|
84 |
+
"learning_rate": 2.688172043010753e-06,
|
85 |
+
"loss": 0.8311,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.029617662897145933,
|
90 |
+
"grad_norm": 3.0109701116495216,
|
91 |
+
"learning_rate": 2.9569892473118283e-06,
|
92 |
+
"loss": 0.8072,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03231017770597738,
|
97 |
+
"grad_norm": 2.9583394058653876,
|
98 |
+
"learning_rate": 3.225806451612903e-06,
|
99 |
+
"loss": 0.7965,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.03500269251480883,
|
104 |
+
"grad_norm": 3.1460179996258146,
|
105 |
+
"learning_rate": 3.494623655913979e-06,
|
106 |
+
"loss": 0.8118,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.03769520732364028,
|
111 |
+
"grad_norm": 3.376763980257778,
|
112 |
+
"learning_rate": 3.763440860215054e-06,
|
113 |
+
"loss": 0.7851,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.04038772213247173,
|
118 |
+
"grad_norm": 2.9673425200438013,
|
119 |
+
"learning_rate": 4.032258064516129e-06,
|
120 |
+
"loss": 0.7957,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.043080236941303175,
|
125 |
+
"grad_norm": 3.0128704990376267,
|
126 |
+
"learning_rate": 4.3010752688172045e-06,
|
127 |
+
"loss": 0.7751,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.04577275175013463,
|
132 |
+
"grad_norm": 3.3210132634127656,
|
133 |
+
"learning_rate": 4.56989247311828e-06,
|
134 |
+
"loss": 0.7689,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.048465266558966075,
|
139 |
+
"grad_norm": 3.175041603297429,
|
140 |
+
"learning_rate": 4.838709677419355e-06,
|
141 |
+
"loss": 0.7685,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.05115778136779752,
|
146 |
+
"grad_norm": 3.1666439879487838,
|
147 |
+
"learning_rate": 5.1075268817204305e-06,
|
148 |
+
"loss": 0.7642,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.053850296176628974,
|
153 |
+
"grad_norm": 3.050039288877326,
|
154 |
+
"learning_rate": 5.376344086021506e-06,
|
155 |
+
"loss": 0.75,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.05654281098546042,
|
160 |
+
"grad_norm": 2.9472819168277455,
|
161 |
+
"learning_rate": 5.645161290322582e-06,
|
162 |
+
"loss": 0.7437,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.05923532579429187,
|
167 |
+
"grad_norm": 3.1420868913301185,
|
168 |
+
"learning_rate": 5.9139784946236566e-06,
|
169 |
+
"loss": 0.7317,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.06192784060312332,
|
174 |
+
"grad_norm": 3.2485163047441423,
|
175 |
+
"learning_rate": 6.182795698924732e-06,
|
176 |
+
"loss": 0.7392,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.06462035541195477,
|
181 |
+
"grad_norm": 3.4854700395087552,
|
182 |
+
"learning_rate": 6.451612903225806e-06,
|
183 |
+
"loss": 0.7441,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.06731287022078622,
|
188 |
+
"grad_norm": 2.9119403460101148,
|
189 |
+
"learning_rate": 6.720430107526882e-06,
|
190 |
+
"loss": 0.7216,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.07000538502961766,
|
195 |
+
"grad_norm": 2.956926563215588,
|
196 |
+
"learning_rate": 6.989247311827958e-06,
|
197 |
+
"loss": 0.7283,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.07269789983844911,
|
202 |
+
"grad_norm": 3.256266278148656,
|
203 |
+
"learning_rate": 7.258064516129033e-06,
|
204 |
+
"loss": 0.7296,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.07539041464728057,
|
209 |
+
"grad_norm": 2.8692943178965185,
|
210 |
+
"learning_rate": 7.526881720430108e-06,
|
211 |
+
"loss": 0.7202,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.078082929456112,
|
216 |
+
"grad_norm": 2.8804161059666935,
|
217 |
+
"learning_rate": 7.795698924731183e-06,
|
218 |
+
"loss": 0.7195,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.08077544426494346,
|
223 |
+
"grad_norm": 3.0006510283335848,
|
224 |
+
"learning_rate": 8.064516129032258e-06,
|
225 |
+
"loss": 0.721,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.08346795907377491,
|
230 |
+
"grad_norm": 2.978282671191466,
|
231 |
+
"learning_rate": 8.333333333333334e-06,
|
232 |
+
"loss": 0.7151,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.08616047388260635,
|
237 |
+
"grad_norm": 2.832558314575903,
|
238 |
+
"learning_rate": 8.602150537634409e-06,
|
239 |
+
"loss": 0.712,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.0888529886914378,
|
244 |
+
"grad_norm": 2.9438520239067265,
|
245 |
+
"learning_rate": 8.870967741935484e-06,
|
246 |
+
"loss": 0.7161,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.09154550350026926,
|
251 |
+
"grad_norm": 3.165458696824085,
|
252 |
+
"learning_rate": 9.13978494623656e-06,
|
253 |
+
"loss": 0.7146,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.0942380183091007,
|
258 |
+
"grad_norm": 3.372895429211009,
|
259 |
+
"learning_rate": 9.408602150537635e-06,
|
260 |
+
"loss": 0.7008,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.09693053311793215,
|
265 |
+
"grad_norm": 2.9822482771935785,
|
266 |
+
"learning_rate": 9.67741935483871e-06,
|
267 |
+
"loss": 0.702,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.0996230479267636,
|
272 |
+
"grad_norm": 2.7297175029131555,
|
273 |
+
"learning_rate": 9.946236559139786e-06,
|
274 |
+
"loss": 0.701,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.10231556273559504,
|
279 |
+
"grad_norm": 2.797512257800779,
|
280 |
+
"learning_rate": 9.999858614526654e-06,
|
281 |
+
"loss": 0.7073,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.1050080775444265,
|
286 |
+
"grad_norm": 2.7494639915648516,
|
287 |
+
"learning_rate": 9.999284249745143e-06,
|
288 |
+
"loss": 0.6922,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.10770059235325795,
|
293 |
+
"grad_norm": 2.8999873055676404,
|
294 |
+
"learning_rate": 9.998268119778471e-06,
|
295 |
+
"loss": 0.6998,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.11039310716208939,
|
300 |
+
"grad_norm": 2.709033463381412,
|
301 |
+
"learning_rate": 9.996810314417666e-06,
|
302 |
+
"loss": 0.7017,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.11308562197092084,
|
307 |
+
"grad_norm": 2.6497064978122498,
|
308 |
+
"learning_rate": 9.9949109624827e-06,
|
309 |
+
"loss": 0.697,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.1157781367797523,
|
314 |
+
"grad_norm": 2.850561924743422,
|
315 |
+
"learning_rate": 9.992570231811108e-06,
|
316 |
+
"loss": 0.6937,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.11847065158858373,
|
321 |
+
"grad_norm": 2.7049716604581953,
|
322 |
+
"learning_rate": 9.989788329243163e-06,
|
323 |
+
"loss": 0.7057,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.12116316639741519,
|
328 |
+
"grad_norm": 2.5917851309791673,
|
329 |
+
"learning_rate": 9.986565500603598e-06,
|
330 |
+
"loss": 0.6956,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.12385568120624664,
|
335 |
+
"grad_norm": 2.6711850256792258,
|
336 |
+
"learning_rate": 9.982902030679875e-06,
|
337 |
+
"loss": 0.7109,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.12654819601507808,
|
342 |
+
"grad_norm": 2.6766440274545995,
|
343 |
+
"learning_rate": 9.978798243197031e-06,
|
344 |
+
"loss": 0.6909,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.12924071082390953,
|
349 |
+
"grad_norm": 2.8552384364271775,
|
350 |
+
"learning_rate": 9.974254500789065e-06,
|
351 |
+
"loss": 0.6879,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.13193322563274099,
|
356 |
+
"grad_norm": 2.5756385146469882,
|
357 |
+
"learning_rate": 9.969271204966895e-06,
|
358 |
+
"loss": 0.6802,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.13462574044157244,
|
363 |
+
"grad_norm": 2.717537618462663,
|
364 |
+
"learning_rate": 9.963848796082873e-06,
|
365 |
+
"loss": 0.6921,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.13731825525040386,
|
370 |
+
"grad_norm": 2.5131980662996756,
|
371 |
+
"learning_rate": 9.95798775329189e-06,
|
372 |
+
"loss": 0.689,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.14001077005923532,
|
377 |
+
"grad_norm": 2.51836898271677,
|
378 |
+
"learning_rate": 9.951688594509012e-06,
|
379 |
+
"loss": 0.6793,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.14270328486806677,
|
384 |
+
"grad_norm": 2.6980273572649676,
|
385 |
+
"learning_rate": 9.944951876363731e-06,
|
386 |
+
"loss": 0.6834,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.14539579967689822,
|
391 |
+
"grad_norm": 2.646134452091696,
|
392 |
+
"learning_rate": 9.937778194150771e-06,
|
393 |
+
"loss": 0.6767,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.14808831448572968,
|
398 |
+
"grad_norm": 2.5534608799808627,
|
399 |
+
"learning_rate": 9.930168181777486e-06,
|
400 |
+
"loss": 0.6907,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.15078082929456113,
|
405 |
+
"grad_norm": 2.5908475307902656,
|
406 |
+
"learning_rate": 9.922122511707843e-06,
|
407 |
+
"loss": 0.6861,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.15347334410339256,
|
412 |
+
"grad_norm": 2.5765130409804695,
|
413 |
+
"learning_rate": 9.913641894903006e-06,
|
414 |
+
"loss": 0.6791,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.156165858912224,
|
419 |
+
"grad_norm": 2.741146958946548,
|
420 |
+
"learning_rate": 9.904727080758495e-06,
|
421 |
+
"loss": 0.6874,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.15885837372105546,
|
426 |
+
"grad_norm": 2.8381749428470595,
|
427 |
+
"learning_rate": 9.895378857037989e-06,
|
428 |
+
"loss": 0.676,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.16155088852988692,
|
433 |
+
"grad_norm": 2.7204348331914447,
|
434 |
+
"learning_rate": 9.885598049803693e-06,
|
435 |
+
"loss": 0.673,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.16424340333871837,
|
440 |
+
"grad_norm": 2.6441432061304178,
|
441 |
+
"learning_rate": 9.875385523343353e-06,
|
442 |
+
"loss": 0.671,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.16693591814754982,
|
447 |
+
"grad_norm": 2.5486118216678277,
|
448 |
+
"learning_rate": 9.86474218009388e-06,
|
449 |
+
"loss": 0.6622,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.16962843295638125,
|
454 |
+
"grad_norm": 2.448370238657585,
|
455 |
+
"learning_rate": 9.853668960561611e-06,
|
456 |
+
"loss": 0.6848,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.1723209477652127,
|
461 |
+
"grad_norm": 2.5840299111800955,
|
462 |
+
"learning_rate": 9.84216684323919e-06,
|
463 |
+
"loss": 0.6568,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.17501346257404415,
|
468 |
+
"grad_norm": 2.57305271825157,
|
469 |
+
"learning_rate": 9.830236844519114e-06,
|
470 |
+
"loss": 0.66,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.1777059773828756,
|
475 |
+
"grad_norm": 2.53266567006045,
|
476 |
+
"learning_rate": 9.81788001860391e-06,
|
477 |
+
"loss": 0.662,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.18039849219170706,
|
482 |
+
"grad_norm": 2.4978159844537458,
|
483 |
+
"learning_rate": 9.805097457412981e-06,
|
484 |
+
"loss": 0.6509,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.1830910070005385,
|
489 |
+
"grad_norm": 2.533762872533261,
|
490 |
+
"learning_rate": 9.791890290486127e-06,
|
491 |
+
"loss": 0.6336,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.18578352180936994,
|
496 |
+
"grad_norm": 2.5709499517182888,
|
497 |
+
"learning_rate": 9.77825968488372e-06,
|
498 |
+
"loss": 0.6672,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.1884760366182014,
|
503 |
+
"grad_norm": 2.5155435537189432,
|
504 |
+
"learning_rate": 9.76420684508358e-06,
|
505 |
+
"loss": 0.6587,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.19116855142703285,
|
510 |
+
"grad_norm": 2.3629608947394214,
|
511 |
+
"learning_rate": 9.74973301287455e-06,
|
512 |
+
"loss": 0.6382,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.1938610662358643,
|
517 |
+
"grad_norm": 2.423886375936418,
|
518 |
+
"learning_rate": 9.734839467246744e-06,
|
519 |
+
"loss": 0.6399,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.19655358104469575,
|
524 |
+
"grad_norm": 2.4151592067478713,
|
525 |
+
"learning_rate": 9.719527524278552e-06,
|
526 |
+
"loss": 0.6567,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.1992460958535272,
|
531 |
+
"grad_norm": 2.339311457038808,
|
532 |
+
"learning_rate": 9.703798537020327e-06,
|
533 |
+
"loss": 0.6329,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.20193861066235863,
|
538 |
+
"grad_norm": 2.401955911603551,
|
539 |
+
"learning_rate": 9.687653895374824e-06,
|
540 |
+
"loss": 0.6443,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.20463112547119008,
|
545 |
+
"grad_norm": 2.349530919733858,
|
546 |
+
"learning_rate": 9.671095025974388e-06,
|
547 |
+
"loss": 0.6262,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.20732364028002154,
|
552 |
+
"grad_norm": 2.5574771679537,
|
553 |
+
"learning_rate": 9.654123392054884e-06,
|
554 |
+
"loss": 0.6493,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.210016155088853,
|
559 |
+
"grad_norm": 2.5279142423497443,
|
560 |
+
"learning_rate": 9.636740493326398e-06,
|
561 |
+
"loss": 0.6458,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.21270866989768444,
|
566 |
+
"grad_norm": 2.407565936871044,
|
567 |
+
"learning_rate": 9.618947865840705e-06,
|
568 |
+
"loss": 0.6356,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2154011847065159,
|
573 |
+
"grad_norm": 2.50737386034651,
|
574 |
+
"learning_rate": 9.600747081855553e-06,
|
575 |
+
"loss": 0.6505,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.21809369951534732,
|
580 |
+
"grad_norm": 2.492501588167292,
|
581 |
+
"learning_rate": 9.582139749695713e-06,
|
582 |
+
"loss": 0.625,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.22078621432417878,
|
587 |
+
"grad_norm": 2.3085166355816322,
|
588 |
+
"learning_rate": 9.563127513610868e-06,
|
589 |
+
"loss": 0.6531,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.22347872913301023,
|
594 |
+
"grad_norm": 2.3663625111521553,
|
595 |
+
"learning_rate": 9.543712053630314e-06,
|
596 |
+
"loss": 0.6185,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.22617124394184168,
|
601 |
+
"grad_norm": 2.362289550568963,
|
602 |
+
"learning_rate": 9.523895085414503e-06,
|
603 |
+
"loss": 0.6151,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.22886375875067314,
|
608 |
+
"grad_norm": 2.4285748744254394,
|
609 |
+
"learning_rate": 9.503678360103433e-06,
|
610 |
+
"loss": 0.6195,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.2315562735595046,
|
615 |
+
"grad_norm": 2.320249188264771,
|
616 |
+
"learning_rate": 9.483063664161922e-06,
|
617 |
+
"loss": 0.6217,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.23424878836833601,
|
622 |
+
"grad_norm": 2.4068743254230953,
|
623 |
+
"learning_rate": 9.462052819221726e-06,
|
624 |
+
"loss": 0.6269,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.23694130317716747,
|
629 |
+
"grad_norm": 2.443692426314357,
|
630 |
+
"learning_rate": 9.440647681920587e-06,
|
631 |
+
"loss": 0.6414,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.23963381798599892,
|
636 |
+
"grad_norm": 2.376216504990232,
|
637 |
+
"learning_rate": 9.418850143738158e-06,
|
638 |
+
"loss": 0.6349,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.24232633279483037,
|
643 |
+
"grad_norm": 2.4206153603989566,
|
644 |
+
"learning_rate": 9.396662130828869e-06,
|
645 |
+
"loss": 0.6059,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.24501884760366183,
|
650 |
+
"grad_norm": 2.4419798835688074,
|
651 |
+
"learning_rate": 9.374085603851709e-06,
|
652 |
+
"loss": 0.6091,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.24771136241249328,
|
657 |
+
"grad_norm": 2.3263506335508817,
|
658 |
+
"learning_rate": 9.351122557796987e-06,
|
659 |
+
"loss": 0.6188,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.25040387722132473,
|
664 |
+
"grad_norm": 2.533382037846899,
|
665 |
+
"learning_rate": 9.327775021810037e-06,
|
666 |
+
"loss": 0.6145,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.25309639203015616,
|
671 |
+
"grad_norm": 2.678311932146126,
|
672 |
+
"learning_rate": 9.304045059011905e-06,
|
673 |
+
"loss": 0.5881,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.25578890683898764,
|
678 |
+
"grad_norm": 2.5127273745887466,
|
679 |
+
"learning_rate": 9.279934766317045e-06,
|
680 |
+
"loss": 0.621,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.25848142164781907,
|
685 |
+
"grad_norm": 2.303317205670643,
|
686 |
+
"learning_rate": 9.255446274248023e-06,
|
687 |
+
"loss": 0.6036,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.2611739364566505,
|
692 |
+
"grad_norm": 2.4449467721888376,
|
693 |
+
"learning_rate": 9.230581746747257e-06,
|
694 |
+
"loss": 0.6035,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.26386645126548197,
|
699 |
+
"grad_norm": 2.4020663292502165,
|
700 |
+
"learning_rate": 9.205343380985793e-06,
|
701 |
+
"loss": 0.5939,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.2665589660743134,
|
706 |
+
"grad_norm": 2.526561720865294,
|
707 |
+
"learning_rate": 9.179733407169146e-06,
|
708 |
+
"loss": 0.6,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.2692514808831449,
|
713 |
+
"grad_norm": 2.4642667203514783,
|
714 |
+
"learning_rate": 9.153754088340237e-06,
|
715 |
+
"loss": 0.6143,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2719439956919763,
|
720 |
+
"grad_norm": 2.546297508506232,
|
721 |
+
"learning_rate": 9.12740772017941e-06,
|
722 |
+
"loss": 0.6006,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.27463651050080773,
|
727 |
+
"grad_norm": 2.332663269345773,
|
728 |
+
"learning_rate": 9.10069663080158e-06,
|
729 |
+
"loss": 0.5894,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.2773290253096392,
|
734 |
+
"grad_norm": 2.414500443877397,
|
735 |
+
"learning_rate": 9.073623180550496e-06,
|
736 |
+
"loss": 0.5978,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.28002154011847064,
|
741 |
+
"grad_norm": 2.618196788357666,
|
742 |
+
"learning_rate": 9.046189761790179e-06,
|
743 |
+
"loss": 0.5914,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.2827140549273021,
|
748 |
+
"grad_norm": 2.4760448307330964,
|
749 |
+
"learning_rate": 9.018398798693512e-06,
|
750 |
+
"loss": 0.6094,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.28540656973613354,
|
755 |
+
"grad_norm": 2.403492095012741,
|
756 |
+
"learning_rate": 8.99025274702803e-06,
|
757 |
+
"loss": 0.5792,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.288099084544965,
|
762 |
+
"grad_norm": 2.424533931438387,
|
763 |
+
"learning_rate": 8.961754093938917e-06,
|
764 |
+
"loss": 0.5813,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.29079159935379645,
|
769 |
+
"grad_norm": 2.4025980246295555,
|
770 |
+
"learning_rate": 8.932905357729213e-06,
|
771 |
+
"loss": 0.5747,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.2934841141626279,
|
776 |
+
"grad_norm": 2.4566763739595343,
|
777 |
+
"learning_rate": 8.903709087637307e-06,
|
778 |
+
"loss": 0.6003,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.29617662897145935,
|
783 |
+
"grad_norm": 2.307834128807205,
|
784 |
+
"learning_rate": 8.874167863611647e-06,
|
785 |
+
"loss": 0.5838,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.2988691437802908,
|
790 |
+
"grad_norm": 2.352469567943909,
|
791 |
+
"learning_rate": 8.844284296082776e-06,
|
792 |
+
"loss": 0.5845,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.30156165858912226,
|
797 |
+
"grad_norm": 2.3341023442033895,
|
798 |
+
"learning_rate": 8.81406102573266e-06,
|
799 |
+
"loss": 0.5689,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.3042541733979537,
|
804 |
+
"grad_norm": 2.4151388881341322,
|
805 |
+
"learning_rate": 8.783500723261333e-06,
|
806 |
+
"loss": 0.5793,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.3069466882067851,
|
811 |
+
"grad_norm": 2.352881741468682,
|
812 |
+
"learning_rate": 8.752606089150903e-06,
|
813 |
+
"loss": 0.5872,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.3096392030156166,
|
818 |
+
"grad_norm": 2.2929845371154665,
|
819 |
+
"learning_rate": 8.721379853426928e-06,
|
820 |
+
"loss": 0.5827,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.312331717824448,
|
825 |
+
"grad_norm": 2.351649375339974,
|
826 |
+
"learning_rate": 8.689824775417164e-06,
|
827 |
+
"loss": 0.5704,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.3150242326332795,
|
832 |
+
"grad_norm": 2.3536783488717425,
|
833 |
+
"learning_rate": 8.657943643507747e-06,
|
834 |
+
"loss": 0.5916,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.3177167474421109,
|
839 |
+
"grad_norm": 2.4858567387352783,
|
840 |
+
"learning_rate": 8.625739274896785e-06,
|
841 |
+
"loss": 0.5679,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.3204092622509424,
|
846 |
+
"grad_norm": 2.5420824976461613,
|
847 |
+
"learning_rate": 8.593214515345426e-06,
|
848 |
+
"loss": 0.5747,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.32310177705977383,
|
853 |
+
"grad_norm": 2.411084856535756,
|
854 |
+
"learning_rate": 8.560372238926372e-06,
|
855 |
+
"loss": 0.5818,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.32579429186860526,
|
860 |
+
"grad_norm": 2.493451871387303,
|
861 |
+
"learning_rate": 8.527215347769932e-06,
|
862 |
+
"loss": 0.5709,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.32848680667743674,
|
867 |
+
"grad_norm": 2.2974929968587388,
|
868 |
+
"learning_rate": 8.493746771807559e-06,
|
869 |
+
"loss": 0.578,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.33117932148626816,
|
874 |
+
"grad_norm": 2.368635502736958,
|
875 |
+
"learning_rate": 8.459969468512943e-06,
|
876 |
+
"loss": 0.5507,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.33387183629509964,
|
881 |
+
"grad_norm": 2.5093780273624384,
|
882 |
+
"learning_rate": 8.425886422640684e-06,
|
883 |
+
"loss": 0.5574,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.33656435110393107,
|
888 |
+
"grad_norm": 2.3784956807998254,
|
889 |
+
"learning_rate": 8.391500645962527e-06,
|
890 |
+
"loss": 0.5629,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.3392568659127625,
|
895 |
+
"grad_norm": 2.5705211303648987,
|
896 |
+
"learning_rate": 8.356815177001243e-06,
|
897 |
+
"loss": 0.5563,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.341949380721594,
|
902 |
+
"grad_norm": 2.296265064615366,
|
903 |
+
"learning_rate": 8.321833080762109e-06,
|
904 |
+
"loss": 0.5673,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.3446418955304254,
|
909 |
+
"grad_norm": 2.468686941019328,
|
910 |
+
"learning_rate": 8.286557448462074e-06,
|
911 |
+
"loss": 0.5615,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.3473344103392569,
|
916 |
+
"grad_norm": 2.304658882065399,
|
917 |
+
"learning_rate": 8.250991397256609e-06,
|
918 |
+
"loss": 0.5716,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.3500269251480883,
|
923 |
+
"grad_norm": 2.4328147271748968,
|
924 |
+
"learning_rate": 8.215138069964248e-06,
|
925 |
+
"loss": 0.5497,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.3527194399569198,
|
930 |
+
"grad_norm": 2.5638444164193626,
|
931 |
+
"learning_rate": 8.179000634788872e-06,
|
932 |
+
"loss": 0.5634,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.3554119547657512,
|
937 |
+
"grad_norm": 2.304000568970403,
|
938 |
+
"learning_rate": 8.142582285039753e-06,
|
939 |
+
"loss": 0.5552,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.35810446957458264,
|
944 |
+
"grad_norm": 2.312118564540539,
|
945 |
+
"learning_rate": 8.105886238849369e-06,
|
946 |
+
"loss": 0.5665,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.3607969843834141,
|
951 |
+
"grad_norm": 2.564926504630545,
|
952 |
+
"learning_rate": 8.068915738889038e-06,
|
953 |
+
"loss": 0.5432,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.36348949919224555,
|
958 |
+
"grad_norm": 2.552416968513296,
|
959 |
+
"learning_rate": 8.031674052082372e-06,
|
960 |
+
"loss": 0.5418,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.366182014001077,
|
965 |
+
"grad_norm": 2.465276318426562,
|
966 |
+
"learning_rate": 7.994164469316596e-06,
|
967 |
+
"loss": 0.5438,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.36887452880990845,
|
972 |
+
"grad_norm": 2.3946509022495728,
|
973 |
+
"learning_rate": 7.956390305151744e-06,
|
974 |
+
"loss": 0.5399,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.3715670436187399,
|
979 |
+
"grad_norm": 2.5006069528524266,
|
980 |
+
"learning_rate": 7.918354897527767e-06,
|
981 |
+
"loss": 0.5556,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.37425955842757136,
|
986 |
+
"grad_norm": 2.4646542978549633,
|
987 |
+
"learning_rate": 7.880061607469574e-06,
|
988 |
+
"loss": 0.5465,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.3769520732364028,
|
993 |
+
"grad_norm": 2.464786801902601,
|
994 |
+
"learning_rate": 7.841513818790035e-06,
|
995 |
+
"loss": 0.5412,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.37964458804523427,
|
1000 |
+
"grad_norm": 2.470119700617401,
|
1001 |
+
"learning_rate": 7.80271493779096e-06,
|
1002 |
+
"loss": 0.5518,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.3823371028540657,
|
1007 |
+
"grad_norm": 2.487807822690958,
|
1008 |
+
"learning_rate": 7.763668392962107e-06,
|
1009 |
+
"loss": 0.539,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.3850296176628972,
|
1014 |
+
"grad_norm": 2.3449768254321812,
|
1015 |
+
"learning_rate": 7.724377634678222e-06,
|
1016 |
+
"loss": 0.5367,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.3877221324717286,
|
1021 |
+
"grad_norm": 2.342137329316273,
|
1022 |
+
"learning_rate": 7.684846134894133e-06,
|
1023 |
+
"loss": 0.5361,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.39041464728056,
|
1028 |
+
"grad_norm": 2.3478632374387236,
|
1029 |
+
"learning_rate": 7.645077386837963e-06,
|
1030 |
+
"loss": 0.5377,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.3931071620893915,
|
1035 |
+
"grad_norm": 2.311127470477535,
|
1036 |
+
"learning_rate": 7.605074904702438e-06,
|
1037 |
+
"loss": 0.5326,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.39579967689822293,
|
1042 |
+
"grad_norm": 2.5257265487257317,
|
1043 |
+
"learning_rate": 7.5648422233343564e-06,
|
1044 |
+
"loss": 0.5253,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.3984921917070544,
|
1049 |
+
"grad_norm": 2.2883296027896862,
|
1050 |
+
"learning_rate": 7.524382897922229e-06,
|
1051 |
+
"loss": 0.5198,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.40118470651588584,
|
1056 |
+
"grad_norm": 2.2938224585559994,
|
1057 |
+
"learning_rate": 7.483700503682127e-06,
|
1058 |
+
"loss": 0.5179,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.40387722132471726,
|
1063 |
+
"grad_norm": 2.351764729142054,
|
1064 |
+
"learning_rate": 7.442798635541749e-06,
|
1065 |
+
"loss": 0.5245,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.40656973613354874,
|
1070 |
+
"grad_norm": 2.2446519389708057,
|
1071 |
+
"learning_rate": 7.401680907822756e-06,
|
1072 |
+
"loss": 0.5356,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.40926225094238017,
|
1077 |
+
"grad_norm": 2.463243359027525,
|
1078 |
+
"learning_rate": 7.360350953921386e-06,
|
1079 |
+
"loss": 0.5261,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.41195476575121165,
|
1084 |
+
"grad_norm": 2.1930439197029634,
|
1085 |
+
"learning_rate": 7.3188124259873946e-06,
|
1086 |
+
"loss": 0.5401,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.4146472805600431,
|
1091 |
+
"grad_norm": 2.37252598970325,
|
1092 |
+
"learning_rate": 7.2770689946013215e-06,
|
1093 |
+
"loss": 0.5047,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.41733979536887456,
|
1098 |
+
"grad_norm": 2.284338792322131,
|
1099 |
+
"learning_rate": 7.235124348450143e-06,
|
1100 |
+
"loss": 0.5121,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.420032310177706,
|
1105 |
+
"grad_norm": 2.253488965644508,
|
1106 |
+
"learning_rate": 7.192982194001312e-06,
|
1107 |
+
"loss": 0.5029,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.4227248249865374,
|
1112 |
+
"grad_norm": 2.258949760855827,
|
1113 |
+
"learning_rate": 7.150646255175242e-06,
|
1114 |
+
"loss": 0.5282,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.4254173397953689,
|
1119 |
+
"grad_norm": 2.2735662795523317,
|
1120 |
+
"learning_rate": 7.108120273016236e-06,
|
1121 |
+
"loss": 0.514,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.4281098546042003,
|
1126 |
+
"grad_norm": 2.2850305304777865,
|
1127 |
+
"learning_rate": 7.065408005361902e-06,
|
1128 |
+
"loss": 0.5046,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.4308023694130318,
|
1133 |
+
"grad_norm": 2.2431623733294925,
|
1134 |
+
"learning_rate": 7.022513226511098e-06,
|
1135 |
+
"loss": 0.5108,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.4334948842218632,
|
1140 |
+
"grad_norm": 2.3702355406435958,
|
1141 |
+
"learning_rate": 6.9794397268904094e-06,
|
1142 |
+
"loss": 0.5039,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.43618739903069464,
|
1147 |
+
"grad_norm": 2.424641619769436,
|
1148 |
+
"learning_rate": 6.9361913127192026e-06,
|
1149 |
+
"loss": 0.5135,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.4388799138395261,
|
1154 |
+
"grad_norm": 2.417084290942502,
|
1155 |
+
"learning_rate": 6.892771805673289e-06,
|
1156 |
+
"loss": 0.5008,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.44157242864835755,
|
1161 |
+
"grad_norm": 2.483155905595343,
|
1162 |
+
"learning_rate": 6.8491850425472216e-06,
|
1163 |
+
"loss": 0.5061,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.44426494345718903,
|
1168 |
+
"grad_norm": 2.3647966120276624,
|
1169 |
+
"learning_rate": 6.805434874915249e-06,
|
1170 |
+
"loss": 0.5116,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.44695745826602046,
|
1175 |
+
"grad_norm": 2.3941067808468235,
|
1176 |
+
"learning_rate": 6.7615251687909714e-06,
|
1177 |
+
"loss": 0.5115,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.44964997307485194,
|
1182 |
+
"grad_norm": 2.431013960473848,
|
1183 |
+
"learning_rate": 6.7174598042857186e-06,
|
1184 |
+
"loss": 0.4884,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.45234248788368336,
|
1189 |
+
"grad_norm": 2.3101487072378575,
|
1190 |
+
"learning_rate": 6.67324267526568e-06,
|
1191 |
+
"loss": 0.4952,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.4550350026925148,
|
1196 |
+
"grad_norm": 2.252689751264616,
|
1197 |
+
"learning_rate": 6.62887768900782e-06,
|
1198 |
+
"loss": 0.4908,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.45772751750134627,
|
1203 |
+
"grad_norm": 2.308986864251815,
|
1204 |
+
"learning_rate": 6.58436876585461e-06,
|
1205 |
+
"loss": 0.5115,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.4604200323101777,
|
1210 |
+
"grad_norm": 2.3582282125809333,
|
1211 |
+
"learning_rate": 6.539719838867604e-06,
|
1212 |
+
"loss": 0.5037,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.4631125471190092,
|
1217 |
+
"grad_norm": 2.7549506575377065,
|
1218 |
+
"learning_rate": 6.494934853479889e-06,
|
1219 |
+
"loss": 0.4939,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.4658050619278406,
|
1224 |
+
"grad_norm": 3.0601934459715916,
|
1225 |
+
"learning_rate": 6.450017767147447e-06,
|
1226 |
+
"loss": 0.4988,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.46849757673667203,
|
1231 |
+
"grad_norm": 2.3645028092509914,
|
1232 |
+
"learning_rate": 6.404972548999453e-06,
|
1233 |
+
"loss": 0.4962,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.4711900915455035,
|
1238 |
+
"grad_norm": 2.345655002717708,
|
1239 |
+
"learning_rate": 6.3598031794875355e-06,
|
1240 |
+
"loss": 0.4993,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.47388260635433493,
|
1245 |
+
"grad_norm": 2.4224055568308858,
|
1246 |
+
"learning_rate": 6.314513650034044e-06,
|
1247 |
+
"loss": 0.4798,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.4765751211631664,
|
1252 |
+
"grad_norm": 2.3397132476622047,
|
1253 |
+
"learning_rate": 6.269107962679344e-06,
|
1254 |
+
"loss": 0.4879,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.47926763597199784,
|
1259 |
+
"grad_norm": 2.4522897916842914,
|
1260 |
+
"learning_rate": 6.223590129728171e-06,
|
1261 |
+
"loss": 0.4765,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.4819601507808293,
|
1266 |
+
"grad_norm": 2.3108192463540593,
|
1267 |
+
"learning_rate": 6.177964173395087e-06,
|
1268 |
+
"loss": 0.4864,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.48465266558966075,
|
1273 |
+
"grad_norm": 2.267641247075609,
|
1274 |
+
"learning_rate": 6.1322341254490515e-06,
|
1275 |
+
"loss": 0.4836,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.4873451803984922,
|
1280 |
+
"grad_norm": 2.2555810036335497,
|
1281 |
+
"learning_rate": 6.086404026857146e-06,
|
1282 |
+
"loss": 0.4842,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.49003769520732365,
|
1287 |
+
"grad_norm": 2.327632792501213,
|
1288 |
+
"learning_rate": 6.040477927427502e-06,
|
1289 |
+
"loss": 0.4704,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.4927302100161551,
|
1294 |
+
"grad_norm": 2.2698670809887185,
|
1295 |
+
"learning_rate": 5.994459885451423e-06,
|
1296 |
+
"loss": 0.4749,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.49542272482498656,
|
1301 |
+
"grad_norm": 2.4725183020536847,
|
1302 |
+
"learning_rate": 5.948353967344786e-06,
|
1303 |
+
"loss": 0.4713,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.498115239633818,
|
1308 |
+
"grad_norm": 2.3182514849471993,
|
1309 |
+
"learning_rate": 5.902164247288701e-06,
|
1310 |
+
"loss": 0.4591,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.5008077544426495,
|
1315 |
+
"grad_norm": 2.2450126172776543,
|
1316 |
+
"learning_rate": 5.855894806869493e-06,
|
1317 |
+
"loss": 0.4706,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.5035002692514808,
|
1322 |
+
"grad_norm": 2.4095070380073333,
|
1323 |
+
"learning_rate": 5.809549734718031e-06,
|
1324 |
+
"loss": 0.4706,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.5061927840603123,
|
1329 |
+
"grad_norm": 2.2933657857094905,
|
1330 |
+
"learning_rate": 5.763133126148438e-06,
|
1331 |
+
"loss": 0.4665,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.5088852988691438,
|
1336 |
+
"grad_norm": 2.3063316226503123,
|
1337 |
+
"learning_rate": 5.716649082796199e-06,
|
1338 |
+
"loss": 0.4625,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.5115778136779753,
|
1343 |
+
"grad_norm": 2.3233885177577966,
|
1344 |
+
"learning_rate": 5.670101712255716e-06,
|
1345 |
+
"loss": 0.4688,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.5142703284868066,
|
1350 |
+
"grad_norm": 2.211725156600061,
|
1351 |
+
"learning_rate": 5.6234951277173524e-06,
|
1352 |
+
"loss": 0.4543,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.5169628432956381,
|
1357 |
+
"grad_norm": 2.4389466884168147,
|
1358 |
+
"learning_rate": 5.576833447603943e-06,
|
1359 |
+
"loss": 0.4703,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.5196553581044696,
|
1364 |
+
"grad_norm": 2.3368172021818725,
|
1365 |
+
"learning_rate": 5.530120795206894e-06,
|
1366 |
+
"loss": 0.4655,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.522347872913301,
|
1371 |
+
"grad_norm": 2.2744905601737804,
|
1372 |
+
"learning_rate": 5.483361298321803e-06,
|
1373 |
+
"loss": 0.4598,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.5250403877221325,
|
1378 |
+
"grad_norm": 2.2417520684111354,
|
1379 |
+
"learning_rate": 5.4365590888837175e-06,
|
1380 |
+
"loss": 0.4542,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.5277329025309639,
|
1385 |
+
"grad_norm": 2.260056934844272,
|
1386 |
+
"learning_rate": 5.389718302602008e-06,
|
1387 |
+
"loss": 0.4786,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.5304254173397954,
|
1392 |
+
"grad_norm": 2.2937595883241,
|
1393 |
+
"learning_rate": 5.342843078594916e-06,
|
1394 |
+
"loss": 0.4649,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.5331179321486268,
|
1399 |
+
"grad_norm": 2.298350623188229,
|
1400 |
+
"learning_rate": 5.295937559023794e-06,
|
1401 |
+
"loss": 0.4605,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.5358104469574583,
|
1406 |
+
"grad_norm": 2.2861153437802915,
|
1407 |
+
"learning_rate": 5.2490058887270815e-06,
|
1408 |
+
"loss": 0.4529,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.5385029617662898,
|
1413 |
+
"grad_norm": 2.2661516039174288,
|
1414 |
+
"learning_rate": 5.202052214854048e-06,
|
1415 |
+
"loss": 0.448,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.5411954765751211,
|
1420 |
+
"grad_norm": 2.287756336798117,
|
1421 |
+
"learning_rate": 5.1550806864983235e-06,
|
1422 |
+
"loss": 0.4577,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.5438879913839526,
|
1427 |
+
"grad_norm": 2.21952469191807,
|
1428 |
+
"learning_rate": 5.108095454331261e-06,
|
1429 |
+
"loss": 0.4401,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.5465805061927841,
|
1434 |
+
"grad_norm": 2.289575301200996,
|
1435 |
+
"learning_rate": 5.061100670235161e-06,
|
1436 |
+
"loss": 0.4504,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.5492730210016155,
|
1441 |
+
"grad_norm": 2.254586229300791,
|
1442 |
+
"learning_rate": 5.014100486936383e-06,
|
1443 |
+
"loss": 0.4454,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.5519655358104469,
|
1448 |
+
"grad_norm": 2.137160999612689,
|
1449 |
+
"learning_rate": 4.967099057638397e-06,
|
1450 |
+
"loss": 0.4366,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.5546580506192784,
|
1455 |
+
"grad_norm": 2.241158588636164,
|
1456 |
+
"learning_rate": 4.92010053565477e-06,
|
1457 |
+
"loss": 0.442,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.5573505654281099,
|
1462 |
+
"grad_norm": 2.218608478823859,
|
1463 |
+
"learning_rate": 4.873109074042169e-06,
|
1464 |
+
"loss": 0.4346,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.5600430802369413,
|
1469 |
+
"grad_norm": 2.43524119080364,
|
1470 |
+
"learning_rate": 4.826128825233362e-06,
|
1471 |
+
"loss": 0.4428,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.5627355950457728,
|
1476 |
+
"grad_norm": 2.353557854902857,
|
1477 |
+
"learning_rate": 4.77916394067029e-06,
|
1478 |
+
"loss": 0.4414,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.5654281098546042,
|
1483 |
+
"grad_norm": 2.2938687493350423,
|
1484 |
+
"learning_rate": 4.732218570437224e-06,
|
1485 |
+
"loss": 0.4568,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.5681206246634356,
|
1490 |
+
"grad_norm": 2.3216946351133405,
|
1491 |
+
"learning_rate": 4.6852968628940345e-06,
|
1492 |
+
"loss": 0.4397,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.5708131394722671,
|
1497 |
+
"grad_norm": 2.392290169077891,
|
1498 |
+
"learning_rate": 4.638402964309626e-06,
|
1499 |
+
"loss": 0.4323,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.5735056542810986,
|
1504 |
+
"grad_norm": 2.259967562074028,
|
1505 |
+
"learning_rate": 4.591541018495543e-06,
|
1506 |
+
"loss": 0.4427,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.57619816908993,
|
1511 |
+
"grad_norm": 2.4321895943132597,
|
1512 |
+
"learning_rate": 4.5447151664398e-06,
|
1513 |
+
"loss": 0.44,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.5788906838987614,
|
1518 |
+
"grad_norm": 2.350780966144005,
|
1519 |
+
"learning_rate": 4.497929545940968e-06,
|
1520 |
+
"loss": 0.44,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.5815831987075929,
|
1525 |
+
"grad_norm": 2.327312584804818,
|
1526 |
+
"learning_rate": 4.4511882912425214e-06,
|
1527 |
+
"loss": 0.4366,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.5842757135164244,
|
1532 |
+
"grad_norm": 2.294345174675599,
|
1533 |
+
"learning_rate": 4.404495532667525e-06,
|
1534 |
+
"loss": 0.4383,
|
1535 |
+
"step": 1085
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.5869682283252557,
|
1539 |
+
"grad_norm": 2.2174354559341767,
|
1540 |
+
"learning_rate": 4.357855396253648e-06,
|
1541 |
+
"loss": 0.4412,
|
1542 |
+
"step": 1090
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.5896607431340872,
|
1546 |
+
"grad_norm": 2.350816369766935,
|
1547 |
+
"learning_rate": 4.311272003388569e-06,
|
1548 |
+
"loss": 0.442,
|
1549 |
+
"step": 1095
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.5923532579429187,
|
1553 |
+
"grad_norm": 2.3824872125165286,
|
1554 |
+
"learning_rate": 4.2647494704457775e-06,
|
1555 |
+
"loss": 0.4349,
|
1556 |
+
"step": 1100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.5950457727517501,
|
1560 |
+
"grad_norm": 2.2923371304598605,
|
1561 |
+
"learning_rate": 4.218291908420842e-06,
|
1562 |
+
"loss": 0.4286,
|
1563 |
+
"step": 1105
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.5977382875605816,
|
1567 |
+
"grad_norm": 2.346360268676029,
|
1568 |
+
"learning_rate": 4.171903422568128e-06,
|
1569 |
+
"loss": 0.4336,
|
1570 |
+
"step": 1110
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.600430802369413,
|
1574 |
+
"grad_norm": 2.218093217821692,
|
1575 |
+
"learning_rate": 4.1255881120380335e-06,
|
1576 |
+
"loss": 0.446,
|
1577 |
+
"step": 1115
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.6031233171782445,
|
1581 |
+
"grad_norm": 2.276362681621089,
|
1582 |
+
"learning_rate": 4.079350069514779e-06,
|
1583 |
+
"loss": 0.4407,
|
1584 |
+
"step": 1120
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.6058158319870759,
|
1588 |
+
"grad_norm": 2.3056261390539934,
|
1589 |
+
"learning_rate": 4.033193380854733e-06,
|
1590 |
+
"loss": 0.4289,
|
1591 |
+
"step": 1125
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.6085083467959074,
|
1595 |
+
"grad_norm": 2.1989394458411686,
|
1596 |
+
"learning_rate": 3.9871221247253835e-06,
|
1597 |
+
"loss": 0.4175,
|
1598 |
+
"step": 1130
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.6112008616047389,
|
1602 |
+
"grad_norm": 2.3562705886952915,
|
1603 |
+
"learning_rate": 3.9411403722449075e-06,
|
1604 |
+
"loss": 0.4259,
|
1605 |
+
"step": 1135
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.6138933764135702,
|
1609 |
+
"grad_norm": 2.322065883191611,
|
1610 |
+
"learning_rate": 3.895252186622433e-06,
|
1611 |
+
"loss": 0.418,
|
1612 |
+
"step": 1140
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.6165858912224017,
|
1616 |
+
"grad_norm": 2.315390737203203,
|
1617 |
+
"learning_rate": 3.849461622798993e-06,
|
1618 |
+
"loss": 0.4174,
|
1619 |
+
"step": 1145
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.6192784060312332,
|
1623 |
+
"grad_norm": 2.136385235781553,
|
1624 |
+
"learning_rate": 3.8037727270891927e-06,
|
1625 |
+
"loss": 0.4182,
|
1626 |
+
"step": 1150
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.6219709208400647,
|
1630 |
+
"grad_norm": 2.2676350954914257,
|
1631 |
+
"learning_rate": 3.758189536823673e-06,
|
1632 |
+
"loss": 0.4162,
|
1633 |
+
"step": 1155
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.624663435648896,
|
1637 |
+
"grad_norm": 2.3081143159586164,
|
1638 |
+
"learning_rate": 3.71271607999234e-06,
|
1639 |
+
"loss": 0.415,
|
1640 |
+
"step": 1160
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.6273559504577275,
|
1644 |
+
"grad_norm": 2.1196383763132784,
|
1645 |
+
"learning_rate": 3.6673563748884268e-06,
|
1646 |
+
"loss": 0.4225,
|
1647 |
+
"step": 1165
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.630048465266559,
|
1651 |
+
"grad_norm": 2.3577148406371284,
|
1652 |
+
"learning_rate": 3.6221144297534178e-06,
|
1653 |
+
"loss": 0.41,
|
1654 |
+
"step": 1170
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.6327409800753904,
|
1658 |
+
"grad_norm": 2.332635685786891,
|
1659 |
+
"learning_rate": 3.5769942424228578e-06,
|
1660 |
+
"loss": 0.4137,
|
1661 |
+
"step": 1175
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.6354334948842219,
|
1665 |
+
"grad_norm": 2.254772419320123,
|
1666 |
+
"learning_rate": 3.531999799973079e-06,
|
1667 |
+
"loss": 0.429,
|
1668 |
+
"step": 1180
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.6381260096930533,
|
1672 |
+
"grad_norm": 2.1991733799648907,
|
1673 |
+
"learning_rate": 3.4871350783688795e-06,
|
1674 |
+
"loss": 0.3971,
|
1675 |
+
"step": 1185
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.6408185245018848,
|
1679 |
+
"grad_norm": 2.2671939485505916,
|
1680 |
+
"learning_rate": 3.4424040421121903e-06,
|
1681 |
+
"loss": 0.4163,
|
1682 |
+
"step": 1190
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.6435110393107162,
|
1686 |
+
"grad_norm": 2.258087169479648,
|
1687 |
+
"learning_rate": 3.397810643891741e-06,
|
1688 |
+
"loss": 0.4059,
|
1689 |
+
"step": 1195
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.6462035541195477,
|
1693 |
+
"grad_norm": 2.3543023457270325,
|
1694 |
+
"learning_rate": 3.35335882423378e-06,
|
1695 |
+
"loss": 0.4224,
|
1696 |
+
"step": 1200
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.6488960689283791,
|
1700 |
+
"grad_norm": 2.146955492636297,
|
1701 |
+
"learning_rate": 3.309052511153873e-06,
|
1702 |
+
"loss": 0.4087,
|
1703 |
+
"step": 1205
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.6515885837372105,
|
1707 |
+
"grad_norm": 2.238937583269941,
|
1708 |
+
"learning_rate": 3.2648956198097946e-06,
|
1709 |
+
"loss": 0.4053,
|
1710 |
+
"step": 1210
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.654281098546042,
|
1714 |
+
"grad_norm": 2.190819239320771,
|
1715 |
+
"learning_rate": 3.2208920521555677e-06,
|
1716 |
+
"loss": 0.3945,
|
1717 |
+
"step": 1215
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.6569736133548735,
|
1721 |
+
"grad_norm": 2.1827434556639442,
|
1722 |
+
"learning_rate": 3.177045696596658e-06,
|
1723 |
+
"loss": 0.4089,
|
1724 |
+
"step": 1220
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.6596661281637048,
|
1728 |
+
"grad_norm": 2.128197496062037,
|
1729 |
+
"learning_rate": 3.133360427646378e-06,
|
1730 |
+
"loss": 0.3943,
|
1731 |
+
"step": 1225
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.6623586429725363,
|
1735 |
+
"grad_norm": 2.258181737280764,
|
1736 |
+
"learning_rate": 3.089840105583516e-06,
|
1737 |
+
"loss": 0.4014,
|
1738 |
+
"step": 1230
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.6650511577813678,
|
1742 |
+
"grad_norm": 2.2263287080503202,
|
1743 |
+
"learning_rate": 3.0464885761112083e-06,
|
1744 |
+
"loss": 0.4085,
|
1745 |
+
"step": 1235
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.6677436725901993,
|
1749 |
+
"grad_norm": 2.1158495070811467,
|
1750 |
+
"learning_rate": 3.0033096700171218e-06,
|
1751 |
+
"loss": 0.3919,
|
1752 |
+
"step": 1240
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.6704361873990307,
|
1756 |
+
"grad_norm": 2.1418686648492415,
|
1757 |
+
"learning_rate": 2.960307202834941e-06,
|
1758 |
+
"loss": 0.408,
|
1759 |
+
"step": 1245
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.6731287022078621,
|
1763 |
+
"grad_norm": 2.13102582996017,
|
1764 |
+
"learning_rate": 2.9174849745072003e-06,
|
1765 |
+
"loss": 0.3941,
|
1766 |
+
"step": 1250
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.6758212170166936,
|
1770 |
+
"grad_norm": 2.1255705801818277,
|
1771 |
+
"learning_rate": 2.874846769049509e-06,
|
1772 |
+
"loss": 0.4043,
|
1773 |
+
"step": 1255
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.678513731825525,
|
1777 |
+
"grad_norm": 2.314046111156198,
|
1778 |
+
"learning_rate": 2.8323963542161665e-06,
|
1779 |
+
"loss": 0.4049,
|
1780 |
+
"step": 1260
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.6812062466343565,
|
1784 |
+
"grad_norm": 2.247094999606519,
|
1785 |
+
"learning_rate": 2.7901374811672256e-06,
|
1786 |
+
"loss": 0.3924,
|
1787 |
+
"step": 1265
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.683898761443188,
|
1791 |
+
"grad_norm": 2.1331620184210958,
|
1792 |
+
"learning_rate": 2.748073884137016e-06,
|
1793 |
+
"loss": 0.3942,
|
1794 |
+
"step": 1270
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.6865912762520194,
|
1798 |
+
"grad_norm": 2.2729136222517257,
|
1799 |
+
"learning_rate": 2.7062092801041717e-06,
|
1800 |
+
"loss": 0.39,
|
1801 |
+
"step": 1275
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.6892837910608508,
|
1805 |
+
"grad_norm": 2.1267931341347968,
|
1806 |
+
"learning_rate": 2.664547368463171e-06,
|
1807 |
+
"loss": 0.3833,
|
1808 |
+
"step": 1280
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.6919763058696823,
|
1812 |
+
"grad_norm": 2.1728485155426838,
|
1813 |
+
"learning_rate": 2.6230918306974378e-06,
|
1814 |
+
"loss": 0.3929,
|
1815 |
+
"step": 1285
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.6946688206785138,
|
1819 |
+
"grad_norm": 2.247179993428309,
|
1820 |
+
"learning_rate": 2.581846330054034e-06,
|
1821 |
+
"loss": 0.3915,
|
1822 |
+
"step": 1290
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.6973613354873451,
|
1826 |
+
"grad_norm": 2.146951309924855,
|
1827 |
+
"learning_rate": 2.5408145112199424e-06,
|
1828 |
+
"loss": 0.3894,
|
1829 |
+
"step": 1295
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.7000538502961766,
|
1833 |
+
"grad_norm": 2.1704461453183628,
|
1834 |
+
"learning_rate": 2.5000000000000015e-06,
|
1835 |
+
"loss": 0.3942,
|
1836 |
+
"step": 1300
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.7027463651050081,
|
1840 |
+
"grad_norm": 2.164674877249693,
|
1841 |
+
"learning_rate": 2.4594064029965197e-06,
|
1842 |
+
"loss": 0.3883,
|
1843 |
+
"step": 1305
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.7054388799138396,
|
1847 |
+
"grad_norm": 2.2000767508999175,
|
1848 |
+
"learning_rate": 2.4190373072905687e-06,
|
1849 |
+
"loss": 0.3884,
|
1850 |
+
"step": 1310
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.708131394722671,
|
1854 |
+
"grad_norm": 2.3684557762781546,
|
1855 |
+
"learning_rate": 2.378896280125006e-06,
|
1856 |
+
"loss": 0.3864,
|
1857 |
+
"step": 1315
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.7108239095315024,
|
1861 |
+
"grad_norm": 1.98524822133492,
|
1862 |
+
"learning_rate": 2.3389868685892573e-06,
|
1863 |
+
"loss": 0.3704,
|
1864 |
+
"step": 1320
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.7135164243403339,
|
1868 |
+
"grad_norm": 2.19288217749482,
|
1869 |
+
"learning_rate": 2.2993125993058727e-06,
|
1870 |
+
"loss": 0.3747,
|
1871 |
+
"step": 1325
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.7162089391491653,
|
1875 |
+
"grad_norm": 2.1617200756921497,
|
1876 |
+
"learning_rate": 2.2598769781189004e-06,
|
1877 |
+
"loss": 0.3865,
|
1878 |
+
"step": 1330
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.7189014539579968,
|
1882 |
+
"grad_norm": 2.132621198575595,
|
1883 |
+
"learning_rate": 2.2206834897840814e-06,
|
1884 |
+
"loss": 0.3871,
|
1885 |
+
"step": 1335
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.7215939687668282,
|
1889 |
+
"grad_norm": 2.145671425646657,
|
1890 |
+
"learning_rate": 2.1817355976609212e-06,
|
1891 |
+
"loss": 0.3865,
|
1892 |
+
"step": 1340
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.7242864835756596,
|
1896 |
+
"grad_norm": 2.0530895422503868,
|
1897 |
+
"learning_rate": 2.14303674340665e-06,
|
1898 |
+
"loss": 0.3673,
|
1899 |
+
"step": 1345
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.7269789983844911,
|
1903 |
+
"grad_norm": 2.2838748871806054,
|
1904 |
+
"learning_rate": 2.1045903466720915e-06,
|
1905 |
+
"loss": 0.38,
|
1906 |
+
"step": 1350
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.7296715131933226,
|
1910 |
+
"grad_norm": 2.2502198899358348,
|
1911 |
+
"learning_rate": 2.0663998047994906e-06,
|
1912 |
+
"loss": 0.3874,
|
1913 |
+
"step": 1355
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.732364028002154,
|
1917 |
+
"grad_norm": 2.128622996026954,
|
1918 |
+
"learning_rate": 2.0284684925223006e-06,
|
1919 |
+
"loss": 0.3775,
|
1920 |
+
"step": 1360
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.7350565428109854,
|
1924 |
+
"grad_norm": 2.219696821235303,
|
1925 |
+
"learning_rate": 1.990799761666975e-06,
|
1926 |
+
"loss": 0.3798,
|
1927 |
+
"step": 1365
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.7377490576198169,
|
1931 |
+
"grad_norm": 2.197304231151606,
|
1932 |
+
"learning_rate": 1.953396940856776e-06,
|
1933 |
+
"loss": 0.3724,
|
1934 |
+
"step": 1370
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.7404415724286484,
|
1938 |
+
"grad_norm": 2.2465171659133674,
|
1939 |
+
"learning_rate": 1.9162633352176484e-06,
|
1940 |
+
"loss": 0.3831,
|
1941 |
+
"step": 1375
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.7431340872374798,
|
1945 |
+
"grad_norm": 2.1996595546449367,
|
1946 |
+
"learning_rate": 1.8794022260861483e-06,
|
1947 |
+
"loss": 0.383,
|
1948 |
+
"step": 1380
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.7458266020463112,
|
1952 |
+
"grad_norm": 2.1017548100685417,
|
1953 |
+
"learning_rate": 1.8428168707194922e-06,
|
1954 |
+
"loss": 0.3765,
|
1955 |
+
"step": 1385
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.7485191168551427,
|
1959 |
+
"grad_norm": 2.064327514284528,
|
1960 |
+
"learning_rate": 1.8065105020077262e-06,
|
1961 |
+
"loss": 0.3694,
|
1962 |
+
"step": 1390
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.7512116316639742,
|
1966 |
+
"grad_norm": 2.0962178314477016,
|
1967 |
+
"learning_rate": 1.7704863281880496e-06,
|
1968 |
+
"loss": 0.3866,
|
1969 |
+
"step": 1395
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.7539041464728056,
|
1973 |
+
"grad_norm": 2.124206708166897,
|
1974 |
+
"learning_rate": 1.7347475325613134e-06,
|
1975 |
+
"loss": 0.3741,
|
1976 |
+
"step": 1400
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.756596661281637,
|
1980 |
+
"grad_norm": 2.379442181939827,
|
1981 |
+
"learning_rate": 1.6992972732107322e-06,
|
1982 |
+
"loss": 0.3762,
|
1983 |
+
"step": 1405
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.7592891760904685,
|
1987 |
+
"grad_norm": 2.2436516667976933,
|
1988 |
+
"learning_rate": 1.6641386827228107e-06,
|
1989 |
+
"loss": 0.3668,
|
1990 |
+
"step": 1410
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.7619816908992999,
|
1994 |
+
"grad_norm": 2.106915257521231,
|
1995 |
+
"learning_rate": 1.6292748679105407e-06,
|
1996 |
+
"loss": 0.3715,
|
1997 |
+
"step": 1415
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.7646742057081314,
|
2001 |
+
"grad_norm": 2.0865052999042546,
|
2002 |
+
"learning_rate": 1.594708909538854e-06,
|
2003 |
+
"loss": 0.3798,
|
2004 |
+
"step": 1420
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.7673667205169629,
|
2008 |
+
"grad_norm": 2.2132376460253753,
|
2009 |
+
"learning_rate": 1.5604438620523932e-06,
|
2010 |
+
"loss": 0.3641,
|
2011 |
+
"step": 1425
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.7700592353257943,
|
2015 |
+
"grad_norm": 2.101010632458687,
|
2016 |
+
"learning_rate": 1.5264827533056058e-06,
|
2017 |
+
"loss": 0.3736,
|
2018 |
+
"step": 1430
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.7727517501346257,
|
2022 |
+
"grad_norm": 2.0835331975727573,
|
2023 |
+
"learning_rate": 1.492828584295184e-06,
|
2024 |
+
"loss": 0.3569,
|
2025 |
+
"step": 1435
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.7754442649434572,
|
2029 |
+
"grad_norm": 2.265759304633531,
|
2030 |
+
"learning_rate": 1.4594843288948773e-06,
|
2031 |
+
"loss": 0.3662,
|
2032 |
+
"step": 1440
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.7781367797522887,
|
2036 |
+
"grad_norm": 2.2173463946322323,
|
2037 |
+
"learning_rate": 1.4264529335927114e-06,
|
2038 |
+
"loss": 0.37,
|
2039 |
+
"step": 1445
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.78082929456112,
|
2043 |
+
"grad_norm": 2.1518226151098125,
|
2044 |
+
"learning_rate": 1.3937373172306056e-06,
|
2045 |
+
"loss": 0.3638,
|
2046 |
+
"step": 1450
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.7835218093699515,
|
2050 |
+
"grad_norm": 2.055682580111425,
|
2051 |
+
"learning_rate": 1.361340370746464e-06,
|
2052 |
+
"loss": 0.3702,
|
2053 |
+
"step": 1455
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.786214324178783,
|
2057 |
+
"grad_norm": 2.0945805072566586,
|
2058 |
+
"learning_rate": 1.3292649569187072e-06,
|
2059 |
+
"loss": 0.3641,
|
2060 |
+
"step": 1460
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.7889068389876144,
|
2064 |
+
"grad_norm": 2.099143771457234,
|
2065 |
+
"learning_rate": 1.2975139101132999e-06,
|
2066 |
+
"loss": 0.3647,
|
2067 |
+
"step": 1465
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.7915993537964459,
|
2071 |
+
"grad_norm": 2.2165194526856378,
|
2072 |
+
"learning_rate": 1.2660900360332927e-06,
|
2073 |
+
"loss": 0.3715,
|
2074 |
+
"step": 1470
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.7942918686052773,
|
2078 |
+
"grad_norm": 2.244374868499319,
|
2079 |
+
"learning_rate": 1.2349961114708936e-06,
|
2080 |
+
"loss": 0.3623,
|
2081 |
+
"step": 1475
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.7969843834141088,
|
2085 |
+
"grad_norm": 2.186870000073866,
|
2086 |
+
"learning_rate": 1.2042348840620955e-06,
|
2087 |
+
"loss": 0.3729,
|
2088 |
+
"step": 1480
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.7996768982229402,
|
2092 |
+
"grad_norm": 2.5050253183494244,
|
2093 |
+
"learning_rate": 1.1738090720438782e-06,
|
2094 |
+
"loss": 0.3576,
|
2095 |
+
"step": 1485
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.8023694130317717,
|
2099 |
+
"grad_norm": 2.0739438241919594,
|
2100 |
+
"learning_rate": 1.1437213640140105e-06,
|
2101 |
+
"loss": 0.3617,
|
2102 |
+
"step": 1490
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.8050619278406032,
|
2106 |
+
"grad_norm": 2.0754012982092265,
|
2107 |
+
"learning_rate": 1.113974418693471e-06,
|
2108 |
+
"loss": 0.3595,
|
2109 |
+
"step": 1495
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.8077544426494345,
|
2113 |
+
"grad_norm": 2.3081364092115133,
|
2114 |
+
"learning_rate": 1.0845708646915054e-06,
|
2115 |
+
"loss": 0.361,
|
2116 |
+
"step": 1500
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.810446957458266,
|
2120 |
+
"grad_norm": 2.0032280348669067,
|
2121 |
+
"learning_rate": 1.055513300273352e-06,
|
2122 |
+
"loss": 0.3578,
|
2123 |
+
"step": 1505
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.8131394722670975,
|
2127 |
+
"grad_norm": 2.0937736954570365,
|
2128 |
+
"learning_rate": 1.026804293130641e-06,
|
2129 |
+
"loss": 0.3616,
|
2130 |
+
"step": 1510
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.815831987075929,
|
2134 |
+
"grad_norm": 2.1070535051869443,
|
2135 |
+
"learning_rate": 9.984463801544992e-07,
|
2136 |
+
"loss": 0.3535,
|
2137 |
+
"step": 1515
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.8185245018847603,
|
2141 |
+
"grad_norm": 2.3516801013906097,
|
2142 |
+
"learning_rate": 9.704420672113774e-07,
|
2143 |
+
"loss": 0.3536,
|
2144 |
+
"step": 1520
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.8212170166935918,
|
2148 |
+
"grad_norm": 1.9740143572115736,
|
2149 |
+
"learning_rate": 9.42793828921616e-07,
|
2150 |
+
"loss": 0.3608,
|
2151 |
+
"step": 1525
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.8239095315024233,
|
2155 |
+
"grad_norm": 2.0979215240658027,
|
2156 |
+
"learning_rate": 9.15504108440774e-07,
|
2157 |
+
"loss": 0.3736,
|
2158 |
+
"step": 1530
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.8266020463112547,
|
2162 |
+
"grad_norm": 2.0284760942560323,
|
2163 |
+
"learning_rate": 8.885753172437389e-07,
|
2164 |
+
"loss": 0.3508,
|
2165 |
+
"step": 1535
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.8292945611200861,
|
2169 |
+
"grad_norm": 2.0211247506598395,
|
2170 |
+
"learning_rate": 8.620098349116329e-07,
|
2171 |
+
"loss": 0.352,
|
2172 |
+
"step": 1540
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.8319870759289176,
|
2176 |
+
"grad_norm": 2.3428781214119985,
|
2177 |
+
"learning_rate": 8.358100089215426e-07,
|
2178 |
+
"loss": 0.3603,
|
2179 |
+
"step": 1545
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.8346795907377491,
|
2183 |
+
"grad_norm": 2.109207498019035,
|
2184 |
+
"learning_rate": 8.099781544390795e-07,
|
2185 |
+
"loss": 0.3629,
|
2186 |
+
"step": 1550
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.8373721055465805,
|
2190 |
+
"grad_norm": 2.100615618738898,
|
2191 |
+
"learning_rate": 7.845165541138011e-07,
|
2192 |
+
"loss": 0.3556,
|
2193 |
+
"step": 1555
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.840064620355412,
|
2197 |
+
"grad_norm": 2.0303755145271243,
|
2198 |
+
"learning_rate": 7.594274578775007e-07,
|
2199 |
+
"loss": 0.3555,
|
2200 |
+
"step": 1560
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.8427571351642434,
|
2204 |
+
"grad_norm": 2.0652917821688104,
|
2205 |
+
"learning_rate": 7.347130827453941e-07,
|
2206 |
+
"loss": 0.3588,
|
2207 |
+
"step": 1565
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.8454496499730748,
|
2211 |
+
"grad_norm": 1.9882512618837487,
|
2212 |
+
"learning_rate": 7.103756126202071e-07,
|
2213 |
+
"loss": 0.3613,
|
2214 |
+
"step": 1570
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.8481421647819063,
|
2218 |
+
"grad_norm": 2.067179222751156,
|
2219 |
+
"learning_rate": 6.864171980991985e-07,
|
2220 |
+
"loss": 0.3453,
|
2221 |
+
"step": 1575
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.8508346795907378,
|
2225 |
+
"grad_norm": 2.093050443455704,
|
2226 |
+
"learning_rate": 6.628399562841159e-07,
|
2227 |
+
"loss": 0.3548,
|
2228 |
+
"step": 1580
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.8535271943995691,
|
2232 |
+
"grad_norm": 2.1033534008065073,
|
2233 |
+
"learning_rate": 6.396459705941204e-07,
|
2234 |
+
"loss": 0.3471,
|
2235 |
+
"step": 1585
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.8562197092084006,
|
2239 |
+
"grad_norm": 1.9167623533757014,
|
2240 |
+
"learning_rate": 6.168372905816822e-07,
|
2241 |
+
"loss": 0.3477,
|
2242 |
+
"step": 1590
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.8589122240172321,
|
2246 |
+
"grad_norm": 2.1430265742267105,
|
2247 |
+
"learning_rate": 5.944159317514709e-07,
|
2248 |
+
"loss": 0.3517,
|
2249 |
+
"step": 1595
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.8616047388260636,
|
2253 |
+
"grad_norm": 2.1988162518545686,
|
2254 |
+
"learning_rate": 5.723838753822525e-07,
|
2255 |
+
"loss": 0.3689,
|
2256 |
+
"step": 1600
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.864297253634895,
|
2260 |
+
"grad_norm": 2.2356747531202807,
|
2261 |
+
"learning_rate": 5.507430683518161e-07,
|
2262 |
+
"loss": 0.3449,
|
2263 |
+
"step": 1605
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.8669897684437264,
|
2267 |
+
"grad_norm": 2.1308682594997324,
|
2268 |
+
"learning_rate": 5.294954229649329e-07,
|
2269 |
+
"loss": 0.3507,
|
2270 |
+
"step": 1610
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.8696822832525579,
|
2274 |
+
"grad_norm": 2.0875409392190107,
|
2275 |
+
"learning_rate": 5.086428167843755e-07,
|
2276 |
+
"loss": 0.3476,
|
2277 |
+
"step": 1615
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.8723747980613893,
|
2281 |
+
"grad_norm": 2.147966222762087,
|
2282 |
+
"learning_rate": 4.881870924650062e-07,
|
2283 |
+
"loss": 0.342,
|
2284 |
+
"step": 1620
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.8750673128702208,
|
2288 |
+
"grad_norm": 2.0556458342996464,
|
2289 |
+
"learning_rate": 4.681300575909492e-07,
|
2290 |
+
"loss": 0.3471,
|
2291 |
+
"step": 1625
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.8777598276790523,
|
2295 |
+
"grad_norm": 2.015550654050713,
|
2296 |
+
"learning_rate": 4.4847348451586226e-07,
|
2297 |
+
"loss": 0.3478,
|
2298 |
+
"step": 1630
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.8804523424878837,
|
2302 |
+
"grad_norm": 1.998136493936924,
|
2303 |
+
"learning_rate": 4.2921911020631926e-07,
|
2304 |
+
"loss": 0.3503,
|
2305 |
+
"step": 1635
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.8831448572967151,
|
2309 |
+
"grad_norm": 1.8537901854708771,
|
2310 |
+
"learning_rate": 4.1036863608832856e-07,
|
2311 |
+
"loss": 0.3468,
|
2312 |
+
"step": 1640
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.8858373721055466,
|
2316 |
+
"grad_norm": 2.080626726929853,
|
2317 |
+
"learning_rate": 3.919237278969773e-07,
|
2318 |
+
"loss": 0.3445,
|
2319 |
+
"step": 1645
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.8885298869143781,
|
2323 |
+
"grad_norm": 1.8500187551625011,
|
2324 |
+
"learning_rate": 3.7388601552924066e-07,
|
2325 |
+
"loss": 0.3515,
|
2326 |
+
"step": 1650
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.8912224017232094,
|
2330 |
+
"grad_norm": 1.9930943811147626,
|
2331 |
+
"learning_rate": 3.56257092899957e-07,
|
2332 |
+
"loss": 0.3389,
|
2333 |
+
"step": 1655
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.8939149165320409,
|
2337 |
+
"grad_norm": 2.053675256803709,
|
2338 |
+
"learning_rate": 3.390385178009781e-07,
|
2339 |
+
"loss": 0.3534,
|
2340 |
+
"step": 1660
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.8966074313408724,
|
2344 |
+
"grad_norm": 2.0176018019009225,
|
2345 |
+
"learning_rate": 3.222318117635143e-07,
|
2346 |
+
"loss": 0.3391,
|
2347 |
+
"step": 1665
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.8992999461497039,
|
2351 |
+
"grad_norm": 2.165084875616374,
|
2352 |
+
"learning_rate": 3.058384599236847e-07,
|
2353 |
+
"loss": 0.3392,
|
2354 |
+
"step": 1670
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.9019924609585352,
|
2358 |
+
"grad_norm": 1.8300243137706005,
|
2359 |
+
"learning_rate": 2.8985991089127916e-07,
|
2360 |
+
"loss": 0.3519,
|
2361 |
+
"step": 1675
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.9046849757673667,
|
2365 |
+
"grad_norm": 1.9039488415439678,
|
2366 |
+
"learning_rate": 2.7429757662175316e-07,
|
2367 |
+
"loss": 0.3362,
|
2368 |
+
"step": 1680
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.9073774905761982,
|
2372 |
+
"grad_norm": 2.1498883952955805,
|
2373 |
+
"learning_rate": 2.5915283229146106e-07,
|
2374 |
+
"loss": 0.3485,
|
2375 |
+
"step": 1685
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.9100700053850296,
|
2379 |
+
"grad_norm": 1.9985654494313574,
|
2380 |
+
"learning_rate": 2.44427016176132e-07,
|
2381 |
+
"loss": 0.349,
|
2382 |
+
"step": 1690
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.9127625201938611,
|
2386 |
+
"grad_norm": 2.2813576484209896,
|
2387 |
+
"learning_rate": 2.301214295326193e-07,
|
2388 |
+
"loss": 0.3462,
|
2389 |
+
"step": 1695
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.9154550350026925,
|
2393 |
+
"grad_norm": 2.0155307395335385,
|
2394 |
+
"learning_rate": 2.162373364839071e-07,
|
2395 |
+
"loss": 0.334,
|
2396 |
+
"step": 1700
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.9181475498115239,
|
2400 |
+
"grad_norm": 1.865462382587576,
|
2401 |
+
"learning_rate": 2.0277596390741005e-07,
|
2402 |
+
"loss": 0.3465,
|
2403 |
+
"step": 1705
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.9208400646203554,
|
2407 |
+
"grad_norm": 1.9778403222139225,
|
2408 |
+
"learning_rate": 1.8973850132655957e-07,
|
2409 |
+
"loss": 0.3399,
|
2410 |
+
"step": 1710
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.9235325794291869,
|
2414 |
+
"grad_norm": 2.1982054104516986,
|
2415 |
+
"learning_rate": 1.7712610080568738e-07,
|
2416 |
+
"loss": 0.3471,
|
2417 |
+
"step": 1715
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.9262250942380184,
|
2421 |
+
"grad_norm": 2.0362535026984396,
|
2422 |
+
"learning_rate": 1.649398768482241e-07,
|
2423 |
+
"loss": 0.35,
|
2424 |
+
"step": 1720
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.9289176090468497,
|
2428 |
+
"grad_norm": 2.0586480283901714,
|
2429 |
+
"learning_rate": 1.5318090629821757e-07,
|
2430 |
+
"loss": 0.3414,
|
2431 |
+
"step": 1725
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.9316101238556812,
|
2435 |
+
"grad_norm": 2.0363932956107,
|
2436 |
+
"learning_rate": 1.4185022824517392e-07,
|
2437 |
+
"loss": 0.3432,
|
2438 |
+
"step": 1730
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.9343026386645127,
|
2442 |
+
"grad_norm": 2.0787927070430943,
|
2443 |
+
"learning_rate": 1.3094884393223872e-07,
|
2444 |
+
"loss": 0.3491,
|
2445 |
+
"step": 1735
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.9369951534733441,
|
2449 |
+
"grad_norm": 1.9680040636502156,
|
2450 |
+
"learning_rate": 1.2047771666772124e-07,
|
2451 |
+
"loss": 0.3452,
|
2452 |
+
"step": 1740
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.9396876682821755,
|
2456 |
+
"grad_norm": 1.8963738671804522,
|
2457 |
+
"learning_rate": 1.1043777173997239e-07,
|
2458 |
+
"loss": 0.3437,
|
2459 |
+
"step": 1745
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.942380183091007,
|
2463 |
+
"grad_norm": 2.074849031085683,
|
2464 |
+
"learning_rate": 1.0082989633561746e-07,
|
2465 |
+
"loss": 0.3399,
|
2466 |
+
"step": 1750
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.9450726978998385,
|
2470 |
+
"grad_norm": 2.005988363818133,
|
2471 |
+
"learning_rate": 9.165493946116432e-08,
|
2472 |
+
"loss": 0.341,
|
2473 |
+
"step": 1755
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.9477652127086699,
|
2477 |
+
"grad_norm": 1.9739191876783688,
|
2478 |
+
"learning_rate": 8.29137118679757e-08,
|
2479 |
+
"loss": 0.3505,
|
2480 |
+
"step": 1760
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.9504577275175013,
|
2484 |
+
"grad_norm": 2.0544856800909863,
|
2485 |
+
"learning_rate": 7.460698598063032e-08,
|
2486 |
+
"loss": 0.3504,
|
2487 |
+
"step": 1765
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.9531502423263328,
|
2491 |
+
"grad_norm": 2.0266695028121604,
|
2492 |
+
"learning_rate": 6.673549582866368e-08,
|
2493 |
+
"loss": 0.3437,
|
2494 |
+
"step": 1770
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.9558427571351642,
|
2498 |
+
"grad_norm": 1.9158086758881532,
|
2499 |
+
"learning_rate": 5.929993698170877e-08,
|
2500 |
+
"loss": 0.3407,
|
2501 |
+
"step": 1775
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.9585352719439957,
|
2505 |
+
"grad_norm": 2.060993161808353,
|
2506 |
+
"learning_rate": 5.2300966488026406e-08,
|
2507 |
+
"loss": 0.3514,
|
2508 |
+
"step": 1780
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.9612277867528272,
|
2512 |
+
"grad_norm": 2.2300563421538735,
|
2513 |
+
"learning_rate": 4.573920281645161e-08,
|
2514 |
+
"loss": 0.3329,
|
2515 |
+
"step": 1785
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.9639203015616586,
|
2519 |
+
"grad_norm": 1.9501346199167315,
|
2520 |
+
"learning_rate": 3.96152258017346e-08,
|
2521 |
+
"loss": 0.3373,
|
2522 |
+
"step": 1790
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.96661281637049,
|
2526 |
+
"grad_norm": 2.078047814961423,
|
2527 |
+
"learning_rate": 3.3929576593310644e-08,
|
2528 |
+
"loss": 0.3498,
|
2529 |
+
"step": 1795
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.9693053311793215,
|
2533 |
+
"grad_norm": 1.9588663874547265,
|
2534 |
+
"learning_rate": 2.868275760747441e-08,
|
2535 |
+
"loss": 0.3351,
|
2536 |
+
"step": 1800
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.971997845988153,
|
2540 |
+
"grad_norm": 2.0555012024055563,
|
2541 |
+
"learning_rate": 2.387523248298773e-08,
|
2542 |
+
"loss": 0.3438,
|
2543 |
+
"step": 1805
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.9746903607969843,
|
2547 |
+
"grad_norm": 2.02985190947748,
|
2548 |
+
"learning_rate": 1.9507426040110134e-08,
|
2549 |
+
"loss": 0.3371,
|
2550 |
+
"step": 1810
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.9773828756058158,
|
2554 |
+
"grad_norm": 1.9411470270835758,
|
2555 |
+
"learning_rate": 1.557972424305665e-08,
|
2556 |
+
"loss": 0.3423,
|
2557 |
+
"step": 1815
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.9800753904146473,
|
2561 |
+
"grad_norm": 2.1196737223933773,
|
2562 |
+
"learning_rate": 1.209247416589232e-08,
|
2563 |
+
"loss": 0.344,
|
2564 |
+
"step": 1820
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.9827679052234787,
|
2568 |
+
"grad_norm": 2.051817684549473,
|
2569 |
+
"learning_rate": 9.045983961865622e-09,
|
2570 |
+
"loss": 0.3568,
|
2571 |
+
"step": 1825
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.9854604200323102,
|
2575 |
+
"grad_norm": 2.0189362221244957,
|
2576 |
+
"learning_rate": 6.440522836174135e-09,
|
2577 |
+
"loss": 0.3428,
|
2578 |
+
"step": 1830
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.9881529348411416,
|
2582 |
+
"grad_norm": 1.9669363709037755,
|
2583 |
+
"learning_rate": 4.27632102218023e-09,
|
2584 |
+
"loss": 0.3344,
|
2585 |
+
"step": 1835
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.9908454496499731,
|
2589 |
+
"grad_norm": 1.905202601388718,
|
2590 |
+
"learning_rate": 2.5535697610618026e-09,
|
2591 |
+
"loss": 0.3398,
|
2592 |
+
"step": 1840
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.9935379644588045,
|
2596 |
+
"grad_norm": 1.9833936251009352,
|
2597 |
+
"learning_rate": 1.2724212849180019e-09,
|
2598 |
+
"loss": 0.3458,
|
2599 |
+
"step": 1845
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.996230479267636,
|
2603 |
+
"grad_norm": 1.8216154780128988,
|
2604 |
+
"learning_rate": 4.329888033127727e-10,
|
2605 |
+
"loss": 0.3413,
|
2606 |
+
"step": 1850
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.9989229940764675,
|
2610 |
+
"grad_norm": 2.0143818367459474,
|
2611 |
+
"learning_rate": 3.5346493273968886e-11,
|
2612 |
+
"loss": 0.3454,
|
2613 |
+
"step": 1855
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 1.0,
|
2617 |
+
"eval_runtime": 3.4477,
|
2618 |
+
"eval_samples_per_second": 2.9,
|
2619 |
+
"eval_steps_per_second": 0.87,
|
2620 |
+
"step": 1857
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 1.0,
|
2624 |
+
"step": 1857,
|
2625 |
+
"total_flos": 194409010298880.0,
|
2626 |
+
"train_loss": 0.5086988852623655,
|
2627 |
+
"train_runtime": 16625.9643,
|
2628 |
+
"train_samples_per_second": 1.787,
|
2629 |
+
"train_steps_per_second": 0.112
|
2630 |
+
}
|
2631 |
+
],
|
2632 |
+
"logging_steps": 5,
|
2633 |
+
"max_steps": 1857,
|
2634 |
+
"num_input_tokens_seen": 0,
|
2635 |
+
"num_train_epochs": 1,
|
2636 |
+
"save_steps": 100,
|
2637 |
+
"stateful_callbacks": {
|
2638 |
+
"TrainerControl": {
|
2639 |
+
"args": {
|
2640 |
+
"should_epoch_stop": false,
|
2641 |
+
"should_evaluate": false,
|
2642 |
+
"should_log": false,
|
2643 |
+
"should_save": true,
|
2644 |
+
"should_training_stop": true
|
2645 |
+
},
|
2646 |
+
"attributes": {}
|
2647 |
+
}
|
2648 |
+
},
|
2649 |
+
"total_flos": 194409010298880.0,
|
2650 |
+
"train_batch_size": 4,
|
2651 |
+
"trial_name": null,
|
2652 |
+
"trial_params": null
|
2653 |
+
}
|