Commit
•
8c2d465
1
Parent(s):
5d05738
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +797 -0
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: Mistral-7B_task-1_180-samples_config-1_full
|
| 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 |
+
# Mistral-7B_task-1_180-samples_config-1_full
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 1.3942
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 1
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- gradient_accumulation_steps: 8
|
| 46 |
+
- total_train_batch_size: 8
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: cosine
|
| 49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 50 |
+
- num_epochs: 50
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 56 |
+
| 1.7349 | 1.0 | 17 | 1.6283 |
|
| 57 |
+
| 1.0583 | 2.0 | 34 | 1.0367 |
|
| 58 |
+
| 0.8915 | 3.0 | 51 | 0.9446 |
|
| 59 |
+
| 0.7315 | 4.0 | 68 | 0.9089 |
|
| 60 |
+
| 0.6043 | 5.0 | 85 | 0.9267 |
|
| 61 |
+
| 0.4042 | 6.0 | 102 | 0.9958 |
|
| 62 |
+
| 0.2826 | 7.0 | 119 | 1.1043 |
|
| 63 |
+
| 0.221 | 8.0 | 136 | 1.2135 |
|
| 64 |
+
| 0.1703 | 9.0 | 153 | 1.2571 |
|
| 65 |
+
| 0.1375 | 10.0 | 170 | 1.3205 |
|
| 66 |
+
| 0.1211 | 11.0 | 187 | 1.3942 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- PEFT 0.12.0
|
| 72 |
+
- Transformers 4.44.0
|
| 73 |
+
- Pytorch 2.1.2+cu121
|
| 74 |
+
- Datasets 2.20.0
|
| 75 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 167832240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:885dd8bf0541d192c21b2be30da016e99f75d8fe775e0ba930960e40a3fa6688
|
| 3 |
size 167832240
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 11.0,
|
| 3 |
+
"total_flos": 2.3461897294577664e+16,
|
| 4 |
+
"train_loss": 0.6285739533483663,
|
| 5 |
+
"train_runtime": 1776.6248,
|
| 6 |
+
"train_samples": 136,
|
| 7 |
+
"train_samples_per_second": 3.827,
|
| 8 |
+
"train_steps_per_second": 0.478
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 11.0,
|
| 3 |
+
"total_flos": 2.3461897294577664e+16,
|
| 4 |
+
"train_loss": 0.6285739533483663,
|
| 5 |
+
"train_runtime": 1776.6248,
|
| 6 |
+
"train_samples": 136,
|
| 7 |
+
"train_samples_per_second": 3.827,
|
| 8 |
+
"train_steps_per_second": 0.478
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,797 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9088978171348572,
|
| 3 |
+
"best_model_checkpoint": "data/Mistral-7B_task-1_180-samples_config-1_full/checkpoint-68",
|
| 4 |
+
"epoch": 11.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 187,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.058823529411764705,
|
| 13 |
+
"grad_norm": 2.646308422088623,
|
| 14 |
+
"learning_rate": 1.1764705882352942e-06,
|
| 15 |
+
"loss": 2.0507,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.11764705882352941,
|
| 20 |
+
"grad_norm": 2.6624257564544678,
|
| 21 |
+
"learning_rate": 2.3529411764705885e-06,
|
| 22 |
+
"loss": 2.0992,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.23529411764705882,
|
| 27 |
+
"grad_norm": 2.4988327026367188,
|
| 28 |
+
"learning_rate": 4.705882352941177e-06,
|
| 29 |
+
"loss": 2.0221,
|
| 30 |
+
"step": 4
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.35294117647058826,
|
| 34 |
+
"grad_norm": 2.5717930793762207,
|
| 35 |
+
"learning_rate": 7.058823529411765e-06,
|
| 36 |
+
"loss": 2.0672,
|
| 37 |
+
"step": 6
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.47058823529411764,
|
| 41 |
+
"grad_norm": 2.570204734802246,
|
| 42 |
+
"learning_rate": 9.411764705882354e-06,
|
| 43 |
+
"loss": 2.0224,
|
| 44 |
+
"step": 8
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.5882352941176471,
|
| 48 |
+
"grad_norm": 2.1521692276000977,
|
| 49 |
+
"learning_rate": 1.1764705882352942e-05,
|
| 50 |
+
"loss": 1.9503,
|
| 51 |
+
"step": 10
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.7058823529411765,
|
| 55 |
+
"grad_norm": 2.092810869216919,
|
| 56 |
+
"learning_rate": 1.411764705882353e-05,
|
| 57 |
+
"loss": 1.9548,
|
| 58 |
+
"step": 12
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.8235294117647058,
|
| 62 |
+
"grad_norm": 1.9483330249786377,
|
| 63 |
+
"learning_rate": 1.647058823529412e-05,
|
| 64 |
+
"loss": 1.8751,
|
| 65 |
+
"step": 14
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.9411764705882353,
|
| 69 |
+
"grad_norm": 1.575180172920227,
|
| 70 |
+
"learning_rate": 1.8823529411764708e-05,
|
| 71 |
+
"loss": 1.7349,
|
| 72 |
+
"step": 16
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 1.0,
|
| 76 |
+
"eval_loss": 1.6283254623413086,
|
| 77 |
+
"eval_runtime": 14.5491,
|
| 78 |
+
"eval_samples_per_second": 2.474,
|
| 79 |
+
"eval_steps_per_second": 2.474,
|
| 80 |
+
"step": 17
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.0588235294117647,
|
| 84 |
+
"grad_norm": 1.2693557739257812,
|
| 85 |
+
"learning_rate": 2.1176470588235296e-05,
|
| 86 |
+
"loss": 1.6205,
|
| 87 |
+
"step": 18
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 1.1764705882352942,
|
| 91 |
+
"grad_norm": 1.2702040672302246,
|
| 92 |
+
"learning_rate": 2.3529411764705884e-05,
|
| 93 |
+
"loss": 1.5752,
|
| 94 |
+
"step": 20
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 1.2941176470588236,
|
| 98 |
+
"grad_norm": 1.2988741397857666,
|
| 99 |
+
"learning_rate": 2.5882352941176475e-05,
|
| 100 |
+
"loss": 1.5106,
|
| 101 |
+
"step": 22
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 1.4117647058823528,
|
| 105 |
+
"grad_norm": 1.4694032669067383,
|
| 106 |
+
"learning_rate": 2.823529411764706e-05,
|
| 107 |
+
"loss": 1.3668,
|
| 108 |
+
"step": 24
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 1.5294117647058822,
|
| 112 |
+
"grad_norm": 1.3600854873657227,
|
| 113 |
+
"learning_rate": 3.058823529411765e-05,
|
| 114 |
+
"loss": 1.3131,
|
| 115 |
+
"step": 26
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 1.6470588235294117,
|
| 119 |
+
"grad_norm": 1.3490387201309204,
|
| 120 |
+
"learning_rate": 3.294117647058824e-05,
|
| 121 |
+
"loss": 1.1859,
|
| 122 |
+
"step": 28
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 1.7647058823529411,
|
| 126 |
+
"grad_norm": 1.2320514917373657,
|
| 127 |
+
"learning_rate": 3.529411764705883e-05,
|
| 128 |
+
"loss": 1.1607,
|
| 129 |
+
"step": 30
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 1.8823529411764706,
|
| 133 |
+
"grad_norm": 0.9983924031257629,
|
| 134 |
+
"learning_rate": 3.7647058823529415e-05,
|
| 135 |
+
"loss": 1.0292,
|
| 136 |
+
"step": 32
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 2.0,
|
| 140 |
+
"grad_norm": 0.9114890694618225,
|
| 141 |
+
"learning_rate": 4e-05,
|
| 142 |
+
"loss": 1.0583,
|
| 143 |
+
"step": 34
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 2.0,
|
| 147 |
+
"eval_loss": 1.0366748571395874,
|
| 148 |
+
"eval_runtime": 14.5523,
|
| 149 |
+
"eval_samples_per_second": 2.474,
|
| 150 |
+
"eval_steps_per_second": 2.474,
|
| 151 |
+
"step": 34
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 2.1176470588235294,
|
| 155 |
+
"grad_norm": 0.8355625867843628,
|
| 156 |
+
"learning_rate": 4.235294117647059e-05,
|
| 157 |
+
"loss": 1.021,
|
| 158 |
+
"step": 36
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 2.235294117647059,
|
| 162 |
+
"grad_norm": 0.808163583278656,
|
| 163 |
+
"learning_rate": 4.470588235294118e-05,
|
| 164 |
+
"loss": 1.0106,
|
| 165 |
+
"step": 38
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 2.3529411764705883,
|
| 169 |
+
"grad_norm": 0.8241913914680481,
|
| 170 |
+
"learning_rate": 4.705882352941177e-05,
|
| 171 |
+
"loss": 0.9211,
|
| 172 |
+
"step": 40
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 2.4705882352941178,
|
| 176 |
+
"grad_norm": 0.8242692947387695,
|
| 177 |
+
"learning_rate": 4.9411764705882355e-05,
|
| 178 |
+
"loss": 0.9908,
|
| 179 |
+
"step": 42
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 2.588235294117647,
|
| 183 |
+
"grad_norm": 0.7766556739807129,
|
| 184 |
+
"learning_rate": 5.176470588235295e-05,
|
| 185 |
+
"loss": 0.9245,
|
| 186 |
+
"step": 44
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 2.7058823529411766,
|
| 190 |
+
"grad_norm": 0.7745839953422546,
|
| 191 |
+
"learning_rate": 5.411764705882353e-05,
|
| 192 |
+
"loss": 0.9899,
|
| 193 |
+
"step": 46
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 2.8235294117647056,
|
| 197 |
+
"grad_norm": 0.7987116575241089,
|
| 198 |
+
"learning_rate": 5.647058823529412e-05,
|
| 199 |
+
"loss": 0.9476,
|
| 200 |
+
"step": 48
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 2.9411764705882355,
|
| 204 |
+
"grad_norm": 0.7803441882133484,
|
| 205 |
+
"learning_rate": 5.882352941176471e-05,
|
| 206 |
+
"loss": 0.8915,
|
| 207 |
+
"step": 50
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 3.0,
|
| 211 |
+
"eval_loss": 0.9446046352386475,
|
| 212 |
+
"eval_runtime": 14.5479,
|
| 213 |
+
"eval_samples_per_second": 2.475,
|
| 214 |
+
"eval_steps_per_second": 2.475,
|
| 215 |
+
"step": 51
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 3.0588235294117645,
|
| 219 |
+
"grad_norm": 0.7798807621002197,
|
| 220 |
+
"learning_rate": 6.11764705882353e-05,
|
| 221 |
+
"loss": 0.8388,
|
| 222 |
+
"step": 52
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 3.176470588235294,
|
| 226 |
+
"grad_norm": 0.8820040822029114,
|
| 227 |
+
"learning_rate": 6.352941176470588e-05,
|
| 228 |
+
"loss": 0.8667,
|
| 229 |
+
"step": 54
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 3.2941176470588234,
|
| 233 |
+
"grad_norm": 0.8988600969314575,
|
| 234 |
+
"learning_rate": 6.588235294117648e-05,
|
| 235 |
+
"loss": 0.8426,
|
| 236 |
+
"step": 56
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 3.411764705882353,
|
| 240 |
+
"grad_norm": 0.9066359996795654,
|
| 241 |
+
"learning_rate": 6.823529411764707e-05,
|
| 242 |
+
"loss": 0.8502,
|
| 243 |
+
"step": 58
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 3.5294117647058822,
|
| 247 |
+
"grad_norm": 0.9546484351158142,
|
| 248 |
+
"learning_rate": 7.058823529411765e-05,
|
| 249 |
+
"loss": 0.8084,
|
| 250 |
+
"step": 60
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 3.6470588235294117,
|
| 254 |
+
"grad_norm": 0.9752851128578186,
|
| 255 |
+
"learning_rate": 7.294117647058823e-05,
|
| 256 |
+
"loss": 0.8097,
|
| 257 |
+
"step": 62
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 3.764705882352941,
|
| 261 |
+
"grad_norm": 0.9530940055847168,
|
| 262 |
+
"learning_rate": 7.529411764705883e-05,
|
| 263 |
+
"loss": 0.7824,
|
| 264 |
+
"step": 64
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 3.8823529411764706,
|
| 268 |
+
"grad_norm": 1.0503418445587158,
|
| 269 |
+
"learning_rate": 7.764705882352942e-05,
|
| 270 |
+
"loss": 0.7806,
|
| 271 |
+
"step": 66
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 4.0,
|
| 275 |
+
"grad_norm": 1.210681676864624,
|
| 276 |
+
"learning_rate": 8e-05,
|
| 277 |
+
"loss": 0.7315,
|
| 278 |
+
"step": 68
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 4.0,
|
| 282 |
+
"eval_loss": 0.9088978171348572,
|
| 283 |
+
"eval_runtime": 14.5468,
|
| 284 |
+
"eval_samples_per_second": 2.475,
|
| 285 |
+
"eval_steps_per_second": 2.475,
|
| 286 |
+
"step": 68
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 4.117647058823529,
|
| 290 |
+
"grad_norm": 0.9875113368034363,
|
| 291 |
+
"learning_rate": 8.23529411764706e-05,
|
| 292 |
+
"loss": 0.6596,
|
| 293 |
+
"step": 70
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 4.235294117647059,
|
| 297 |
+
"grad_norm": 1.0360643863677979,
|
| 298 |
+
"learning_rate": 8.470588235294118e-05,
|
| 299 |
+
"loss": 0.6533,
|
| 300 |
+
"step": 72
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 4.352941176470588,
|
| 304 |
+
"grad_norm": 1.34538996219635,
|
| 305 |
+
"learning_rate": 8.705882352941177e-05,
|
| 306 |
+
"loss": 0.6716,
|
| 307 |
+
"step": 74
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 4.470588235294118,
|
| 311 |
+
"grad_norm": 1.291218876838684,
|
| 312 |
+
"learning_rate": 8.941176470588236e-05,
|
| 313 |
+
"loss": 0.6043,
|
| 314 |
+
"step": 76
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 4.588235294117647,
|
| 318 |
+
"grad_norm": 1.2318148612976074,
|
| 319 |
+
"learning_rate": 9.176470588235295e-05,
|
| 320 |
+
"loss": 0.6416,
|
| 321 |
+
"step": 78
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 4.705882352941177,
|
| 325 |
+
"grad_norm": 1.336338758468628,
|
| 326 |
+
"learning_rate": 9.411764705882353e-05,
|
| 327 |
+
"loss": 0.5976,
|
| 328 |
+
"step": 80
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 4.823529411764706,
|
| 332 |
+
"grad_norm": 1.2969739437103271,
|
| 333 |
+
"learning_rate": 9.647058823529412e-05,
|
| 334 |
+
"loss": 0.6031,
|
| 335 |
+
"step": 82
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 4.9411764705882355,
|
| 339 |
+
"grad_norm": 1.4019267559051514,
|
| 340 |
+
"learning_rate": 9.882352941176471e-05,
|
| 341 |
+
"loss": 0.6043,
|
| 342 |
+
"step": 84
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 5.0,
|
| 346 |
+
"eval_loss": 0.9266879558563232,
|
| 347 |
+
"eval_runtime": 14.5488,
|
| 348 |
+
"eval_samples_per_second": 2.474,
|
| 349 |
+
"eval_steps_per_second": 2.474,
|
| 350 |
+
"step": 85
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 5.0588235294117645,
|
| 354 |
+
"grad_norm": 1.3347663879394531,
|
| 355 |
+
"learning_rate": 9.99995783847866e-05,
|
| 356 |
+
"loss": 0.5214,
|
| 357 |
+
"step": 86
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 5.176470588235294,
|
| 361 |
+
"grad_norm": 1.309258222579956,
|
| 362 |
+
"learning_rate": 9.999620550574153e-05,
|
| 363 |
+
"loss": 0.445,
|
| 364 |
+
"step": 88
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 5.294117647058823,
|
| 368 |
+
"grad_norm": 1.9459764957427979,
|
| 369 |
+
"learning_rate": 9.998945997517956e-05,
|
| 370 |
+
"loss": 0.4399,
|
| 371 |
+
"step": 90
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 5.411764705882353,
|
| 375 |
+
"grad_norm": 1.7618651390075684,
|
| 376 |
+
"learning_rate": 9.997934224814173e-05,
|
| 377 |
+
"loss": 0.4547,
|
| 378 |
+
"step": 92
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 5.529411764705882,
|
| 382 |
+
"grad_norm": 1.969826579093933,
|
| 383 |
+
"learning_rate": 9.996585300715116e-05,
|
| 384 |
+
"loss": 0.3973,
|
| 385 |
+
"step": 94
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 5.647058823529412,
|
| 389 |
+
"grad_norm": 1.4914029836654663,
|
| 390 |
+
"learning_rate": 9.994899316216708e-05,
|
| 391 |
+
"loss": 0.3673,
|
| 392 |
+
"step": 96
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 5.764705882352941,
|
| 396 |
+
"grad_norm": 2.238896369934082,
|
| 397 |
+
"learning_rate": 9.992876385052345e-05,
|
| 398 |
+
"loss": 0.4314,
|
| 399 |
+
"step": 98
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 5.882352941176471,
|
| 403 |
+
"grad_norm": 1.7188738584518433,
|
| 404 |
+
"learning_rate": 9.990516643685222e-05,
|
| 405 |
+
"loss": 0.4513,
|
| 406 |
+
"step": 100
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 6.0,
|
| 410 |
+
"grad_norm": 1.5939366817474365,
|
| 411 |
+
"learning_rate": 9.987820251299122e-05,
|
| 412 |
+
"loss": 0.4042,
|
| 413 |
+
"step": 102
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 6.0,
|
| 417 |
+
"eval_loss": 0.9957579374313354,
|
| 418 |
+
"eval_runtime": 14.5477,
|
| 419 |
+
"eval_samples_per_second": 2.475,
|
| 420 |
+
"eval_steps_per_second": 2.475,
|
| 421 |
+
"step": 102
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 6.117647058823529,
|
| 425 |
+
"grad_norm": 1.2552285194396973,
|
| 426 |
+
"learning_rate": 9.984787389787688e-05,
|
| 427 |
+
"loss": 0.2628,
|
| 428 |
+
"step": 104
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 6.235294117647059,
|
| 432 |
+
"grad_norm": 1.7651152610778809,
|
| 433 |
+
"learning_rate": 9.981418263742148e-05,
|
| 434 |
+
"loss": 0.2745,
|
| 435 |
+
"step": 106
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 6.352941176470588,
|
| 439 |
+
"grad_norm": 2.4100160598754883,
|
| 440 |
+
"learning_rate": 9.977713100437509e-05,
|
| 441 |
+
"loss": 0.2875,
|
| 442 |
+
"step": 108
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 6.470588235294118,
|
| 446 |
+
"grad_norm": 2.1231443881988525,
|
| 447 |
+
"learning_rate": 9.973672149817232e-05,
|
| 448 |
+
"loss": 0.2731,
|
| 449 |
+
"step": 110
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 6.588235294117647,
|
| 453 |
+
"grad_norm": 1.9286688566207886,
|
| 454 |
+
"learning_rate": 9.96929568447637e-05,
|
| 455 |
+
"loss": 0.2603,
|
| 456 |
+
"step": 112
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 6.705882352941177,
|
| 460 |
+
"grad_norm": 2.144921064376831,
|
| 461 |
+
"learning_rate": 9.964583999643174e-05,
|
| 462 |
+
"loss": 0.2832,
|
| 463 |
+
"step": 114
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 6.823529411764706,
|
| 467 |
+
"grad_norm": 1.4835938215255737,
|
| 468 |
+
"learning_rate": 9.95953741315919e-05,
|
| 469 |
+
"loss": 0.255,
|
| 470 |
+
"step": 116
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 6.9411764705882355,
|
| 474 |
+
"grad_norm": 1.7913663387298584,
|
| 475 |
+
"learning_rate": 9.954156265457801e-05,
|
| 476 |
+
"loss": 0.2826,
|
| 477 |
+
"step": 118
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 7.0,
|
| 481 |
+
"eval_loss": 1.1042958498001099,
|
| 482 |
+
"eval_runtime": 14.5532,
|
| 483 |
+
"eval_samples_per_second": 2.474,
|
| 484 |
+
"eval_steps_per_second": 2.474,
|
| 485 |
+
"step": 119
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 7.0588235294117645,
|
| 489 |
+
"grad_norm": 1.4122477769851685,
|
| 490 |
+
"learning_rate": 9.948440919541278e-05,
|
| 491 |
+
"loss": 0.2374,
|
| 492 |
+
"step": 120
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 7.176470588235294,
|
| 496 |
+
"grad_norm": 1.3399616479873657,
|
| 497 |
+
"learning_rate": 9.942391760956277e-05,
|
| 498 |
+
"loss": 0.1902,
|
| 499 |
+
"step": 122
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 7.294117647058823,
|
| 503 |
+
"grad_norm": 1.7651268243789673,
|
| 504 |
+
"learning_rate": 9.936009197767845e-05,
|
| 505 |
+
"loss": 0.1724,
|
| 506 |
+
"step": 124
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.411764705882353,
|
| 510 |
+
"grad_norm": 2.032838821411133,
|
| 511 |
+
"learning_rate": 9.929293660531888e-05,
|
| 512 |
+
"loss": 0.193,
|
| 513 |
+
"step": 126
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 7.529411764705882,
|
| 517 |
+
"grad_norm": 1.9887888431549072,
|
| 518 |
+
"learning_rate": 9.922245602266118e-05,
|
| 519 |
+
"loss": 0.1827,
|
| 520 |
+
"step": 128
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 7.647058823529412,
|
| 524 |
+
"grad_norm": 1.6022051572799683,
|
| 525 |
+
"learning_rate": 9.91486549841951e-05,
|
| 526 |
+
"loss": 0.1808,
|
| 527 |
+
"step": 130
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 7.764705882352941,
|
| 531 |
+
"grad_norm": 1.624754786491394,
|
| 532 |
+
"learning_rate": 9.90715384684021e-05,
|
| 533 |
+
"loss": 0.1873,
|
| 534 |
+
"step": 132
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 7.882352941176471,
|
| 538 |
+
"grad_norm": 1.6832681894302368,
|
| 539 |
+
"learning_rate": 9.899111167741966e-05,
|
| 540 |
+
"loss": 0.191,
|
| 541 |
+
"step": 134
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 8.0,
|
| 545 |
+
"grad_norm": 1.583979606628418,
|
| 546 |
+
"learning_rate": 9.890738003669029e-05,
|
| 547 |
+
"loss": 0.221,
|
| 548 |
+
"step": 136
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 8.0,
|
| 552 |
+
"eval_loss": 1.2135425806045532,
|
| 553 |
+
"eval_runtime": 14.5498,
|
| 554 |
+
"eval_samples_per_second": 2.474,
|
| 555 |
+
"eval_steps_per_second": 2.474,
|
| 556 |
+
"step": 136
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 8.117647058823529,
|
| 560 |
+
"grad_norm": 1.0766695737838745,
|
| 561 |
+
"learning_rate": 9.882034919459555e-05,
|
| 562 |
+
"loss": 0.1423,
|
| 563 |
+
"step": 138
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 8.235294117647058,
|
| 567 |
+
"grad_norm": 1.3800048828125,
|
| 568 |
+
"learning_rate": 9.873002502207503e-05,
|
| 569 |
+
"loss": 0.1368,
|
| 570 |
+
"step": 140
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 8.352941176470589,
|
| 574 |
+
"grad_norm": 2.4472179412841797,
|
| 575 |
+
"learning_rate": 9.863641361223024e-05,
|
| 576 |
+
"loss": 0.1472,
|
| 577 |
+
"step": 142
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 8.470588235294118,
|
| 581 |
+
"grad_norm": 1.7869505882263184,
|
| 582 |
+
"learning_rate": 9.853952127991372e-05,
|
| 583 |
+
"loss": 0.1823,
|
| 584 |
+
"step": 144
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 8.588235294117647,
|
| 588 |
+
"grad_norm": 1.6115949153900146,
|
| 589 |
+
"learning_rate": 9.843935456130295e-05,
|
| 590 |
+
"loss": 0.1597,
|
| 591 |
+
"step": 146
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 8.705882352941176,
|
| 595 |
+
"grad_norm": 1.3529373407363892,
|
| 596 |
+
"learning_rate": 9.833592021345937e-05,
|
| 597 |
+
"loss": 0.1471,
|
| 598 |
+
"step": 148
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 8.823529411764707,
|
| 602 |
+
"grad_norm": 1.4170416593551636,
|
| 603 |
+
"learning_rate": 9.822922521387276e-05,
|
| 604 |
+
"loss": 0.1638,
|
| 605 |
+
"step": 150
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 8.941176470588236,
|
| 609 |
+
"grad_norm": 1.6301814317703247,
|
| 610 |
+
"learning_rate": 9.811927675999036e-05,
|
| 611 |
+
"loss": 0.1703,
|
| 612 |
+
"step": 152
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 9.0,
|
| 616 |
+
"eval_loss": 1.2570780515670776,
|
| 617 |
+
"eval_runtime": 14.5592,
|
| 618 |
+
"eval_samples_per_second": 2.473,
|
| 619 |
+
"eval_steps_per_second": 2.473,
|
| 620 |
+
"step": 153
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 9.058823529411764,
|
| 624 |
+
"grad_norm": 0.835446298122406,
|
| 625 |
+
"learning_rate": 9.800608226873142e-05,
|
| 626 |
+
"loss": 0.133,
|
| 627 |
+
"step": 154
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 9.176470588235293,
|
| 631 |
+
"grad_norm": 1.547910451889038,
|
| 632 |
+
"learning_rate": 9.788964937598689e-05,
|
| 633 |
+
"loss": 0.1221,
|
| 634 |
+
"step": 156
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 9.294117647058824,
|
| 638 |
+
"grad_norm": 1.556704044342041,
|
| 639 |
+
"learning_rate": 9.776998593610428e-05,
|
| 640 |
+
"loss": 0.1183,
|
| 641 |
+
"step": 158
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 9.411764705882353,
|
| 645 |
+
"grad_norm": 1.6846866607666016,
|
| 646 |
+
"learning_rate": 9.764710002135784e-05,
|
| 647 |
+
"loss": 0.1298,
|
| 648 |
+
"step": 160
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 9.529411764705882,
|
| 652 |
+
"grad_norm": 1.5772649049758911,
|
| 653 |
+
"learning_rate": 9.752099992140399e-05,
|
| 654 |
+
"loss": 0.1264,
|
| 655 |
+
"step": 162
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 9.647058823529411,
|
| 659 |
+
"grad_norm": 1.2999879121780396,
|
| 660 |
+
"learning_rate": 9.739169414272217e-05,
|
| 661 |
+
"loss": 0.1277,
|
| 662 |
+
"step": 164
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 9.764705882352942,
|
| 666 |
+
"grad_norm": 1.42393958568573,
|
| 667 |
+
"learning_rate": 9.725919140804099e-05,
|
| 668 |
+
"loss": 0.1339,
|
| 669 |
+
"step": 166
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 9.882352941176471,
|
| 673 |
+
"grad_norm": 1.3733538389205933,
|
| 674 |
+
"learning_rate": 9.71235006557497e-05,
|
| 675 |
+
"loss": 0.1335,
|
| 676 |
+
"step": 168
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 10.0,
|
| 680 |
+
"grad_norm": 1.2319905757904053,
|
| 681 |
+
"learning_rate": 9.698463103929542e-05,
|
| 682 |
+
"loss": 0.1375,
|
| 683 |
+
"step": 170
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 10.0,
|
| 687 |
+
"eval_loss": 1.3205113410949707,
|
| 688 |
+
"eval_runtime": 14.5473,
|
| 689 |
+
"eval_samples_per_second": 2.475,
|
| 690 |
+
"eval_steps_per_second": 2.475,
|
| 691 |
+
"step": 170
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 10.117647058823529,
|
| 695 |
+
"grad_norm": 1.1101229190826416,
|
| 696 |
+
"learning_rate": 9.684259192656553e-05,
|
| 697 |
+
"loss": 0.1068,
|
| 698 |
+
"step": 172
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 10.235294117647058,
|
| 702 |
+
"grad_norm": 1.1369638442993164,
|
| 703 |
+
"learning_rate": 9.669739289925577e-05,
|
| 704 |
+
"loss": 0.1103,
|
| 705 |
+
"step": 174
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 10.352941176470589,
|
| 709 |
+
"grad_norm": 3.8115272521972656,
|
| 710 |
+
"learning_rate": 9.654904375222385e-05,
|
| 711 |
+
"loss": 0.1116,
|
| 712 |
+
"step": 176
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 10.470588235294118,
|
| 716 |
+
"grad_norm": 1.0857049226760864,
|
| 717 |
+
"learning_rate": 9.639755449282875e-05,
|
| 718 |
+
"loss": 0.1019,
|
| 719 |
+
"step": 178
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 10.588235294117647,
|
| 723 |
+
"grad_norm": 1.3036538362503052,
|
| 724 |
+
"learning_rate": 9.62429353402556e-05,
|
| 725 |
+
"loss": 0.1106,
|
| 726 |
+
"step": 180
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 10.705882352941176,
|
| 730 |
+
"grad_norm": 1.46515691280365,
|
| 731 |
+
"learning_rate": 9.608519672482636e-05,
|
| 732 |
+
"loss": 0.1164,
|
| 733 |
+
"step": 182
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 10.823529411764707,
|
| 737 |
+
"grad_norm": 0.9066522717475891,
|
| 738 |
+
"learning_rate": 9.592434928729616e-05,
|
| 739 |
+
"loss": 0.1089,
|
| 740 |
+
"step": 184
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 10.941176470588236,
|
| 744 |
+
"grad_norm": 1.4507081508636475,
|
| 745 |
+
"learning_rate": 9.576040387813552e-05,
|
| 746 |
+
"loss": 0.1211,
|
| 747 |
+
"step": 186
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 11.0,
|
| 751 |
+
"eval_loss": 1.3942441940307617,
|
| 752 |
+
"eval_runtime": 14.5455,
|
| 753 |
+
"eval_samples_per_second": 2.475,
|
| 754 |
+
"eval_steps_per_second": 2.475,
|
| 755 |
+
"step": 187
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 11.0,
|
| 759 |
+
"step": 187,
|
| 760 |
+
"total_flos": 2.3461897294577664e+16,
|
| 761 |
+
"train_loss": 0.6285739533483663,
|
| 762 |
+
"train_runtime": 1776.6248,
|
| 763 |
+
"train_samples_per_second": 3.827,
|
| 764 |
+
"train_steps_per_second": 0.478
|
| 765 |
+
}
|
| 766 |
+
],
|
| 767 |
+
"logging_steps": 2,
|
| 768 |
+
"max_steps": 850,
|
| 769 |
+
"num_input_tokens_seen": 0,
|
| 770 |
+
"num_train_epochs": 50,
|
| 771 |
+
"save_steps": 25,
|
| 772 |
+
"stateful_callbacks": {
|
| 773 |
+
"EarlyStoppingCallback": {
|
| 774 |
+
"args": {
|
| 775 |
+
"early_stopping_patience": 7,
|
| 776 |
+
"early_stopping_threshold": 0.0
|
| 777 |
+
},
|
| 778 |
+
"attributes": {
|
| 779 |
+
"early_stopping_patience_counter": 0
|
| 780 |
+
}
|
| 781 |
+
},
|
| 782 |
+
"TrainerControl": {
|
| 783 |
+
"args": {
|
| 784 |
+
"should_epoch_stop": false,
|
| 785 |
+
"should_evaluate": false,
|
| 786 |
+
"should_log": false,
|
| 787 |
+
"should_save": true,
|
| 788 |
+
"should_training_stop": true
|
| 789 |
+
},
|
| 790 |
+
"attributes": {}
|
| 791 |
+
}
|
| 792 |
+
},
|
| 793 |
+
"total_flos": 2.3461897294577664e+16,
|
| 794 |
+
"train_batch_size": 1,
|
| 795 |
+
"trial_name": null,
|
| 796 |
+
"trial_params": null
|
| 797 |
+
}
|