Model save
Browse files- README.md +66 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/Feb21_21-28-24_tf3/events.out.tfevents.1708539253.tf3.3447762.0 +2 -2
- runs/Feb21_21-28-24_tf3/events.out.tfevents.1708552250.tf3.3447762.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1346 -0
README.md
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: mistralai/Mistral-7B-v0.1
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: mistralai-7b-sft-full
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# mistralai-7b-sft-full
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.9352
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 2e-05
|
42 |
+
- train_batch_size: 16
|
43 |
+
- eval_batch_size: 8
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- num_devices: 8
|
47 |
+
- total_train_batch_size: 128
|
48 |
+
- total_eval_batch_size: 64
|
49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
+
- lr_scheduler_type: cosine
|
51 |
+
- lr_scheduler_warmup_ratio: 0.1
|
52 |
+
- num_epochs: 1
|
53 |
+
|
54 |
+
### Training results
|
55 |
+
|
56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
57 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
58 |
+
| 0.91 | 1.0 | 1089 | 0.9352 |
|
59 |
+
|
60 |
+
|
61 |
+
### Framework versions
|
62 |
+
|
63 |
+
- Transformers 4.36.2
|
64 |
+
- Pytorch 2.1.2+cu118
|
65 |
+
- Datasets 2.14.6
|
66 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.9352424740791321,
|
4 |
+
"eval_runtime": 317.7032,
|
5 |
+
"eval_samples": 23091,
|
6 |
+
"eval_samples_per_second": 48.526,
|
7 |
+
"eval_steps_per_second": 0.759,
|
8 |
+
"train_loss": 0.9776419559895609,
|
9 |
+
"train_runtime": 12679.62,
|
10 |
+
"train_samples": 207722,
|
11 |
+
"train_samples_per_second": 10.987,
|
12 |
+
"train_steps_per_second": 0.086
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.9352424740791321,
|
4 |
+
"eval_runtime": 317.7032,
|
5 |
+
"eval_samples": 23091,
|
6 |
+
"eval_samples_per_second": 48.526,
|
7 |
+
"eval_steps_per_second": 0.759
|
8 |
+
}
|
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": "4.36.2"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:67dbe91f7f0a36f0ef0fd1eaa3019a9d490840e97fc1fbdc9981738956b0b5a6
|
3 |
+
size 4943162336
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:111330f9ad7efb8465dcef2c090b7ffa2e041da6caa8f3389ea8bc389ade6956
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f33301d8111f3dde24b105f941f06ce0ee96140e78778776050293281fdccc4
|
3 |
+
size 4540516344
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14483464192
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
runs/Feb21_21-28-24_tf3/events.out.tfevents.1708539253.tf3.3447762.0
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 sha256:6e1a64801e1bc37ce7786fe90f4095cd4b4294383d9a6b6d7c6cc795d6b2217d
|
3 |
+
size 39204
|
runs/Feb21_21-28-24_tf3/events.out.tfevents.1708552250.tf3.3447762.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6729a6308246c6583578e6051958e4200405c59778e00d083f539040935eade4
|
3 |
+
size 359
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.9776419559895609,
|
4 |
+
"train_runtime": 12679.62,
|
5 |
+
"train_samples": 207722,
|
6 |
+
"train_samples_per_second": 10.987,
|
7 |
+
"train_steps_per_second": 0.086
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1089,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 1.8348623853211012e-07,
|
14 |
+
"loss": 1.6866,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"learning_rate": 9.174311926605506e-07,
|
20 |
+
"loss": 1.6643,
|
21 |
+
"step": 5
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 1.8348623853211011e-06,
|
26 |
+
"loss": 1.4006,
|
27 |
+
"step": 10
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 2.7522935779816517e-06,
|
32 |
+
"loss": 1.2478,
|
33 |
+
"step": 15
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.02,
|
37 |
+
"learning_rate": 3.6697247706422022e-06,
|
38 |
+
"loss": 1.1691,
|
39 |
+
"step": 20
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.02,
|
43 |
+
"learning_rate": 4.587155963302753e-06,
|
44 |
+
"loss": 1.1192,
|
45 |
+
"step": 25
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.03,
|
49 |
+
"learning_rate": 5.504587155963303e-06,
|
50 |
+
"loss": 1.0745,
|
51 |
+
"step": 30
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.03,
|
55 |
+
"learning_rate": 6.422018348623854e-06,
|
56 |
+
"loss": 1.0693,
|
57 |
+
"step": 35
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.04,
|
61 |
+
"learning_rate": 7.3394495412844045e-06,
|
62 |
+
"loss": 1.06,
|
63 |
+
"step": 40
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.04,
|
67 |
+
"learning_rate": 8.256880733944956e-06,
|
68 |
+
"loss": 1.0413,
|
69 |
+
"step": 45
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.05,
|
73 |
+
"learning_rate": 9.174311926605506e-06,
|
74 |
+
"loss": 1.0245,
|
75 |
+
"step": 50
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.05,
|
79 |
+
"learning_rate": 1.0091743119266055e-05,
|
80 |
+
"loss": 1.0305,
|
81 |
+
"step": 55
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.06,
|
85 |
+
"learning_rate": 1.1009174311926607e-05,
|
86 |
+
"loss": 1.0137,
|
87 |
+
"step": 60
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.06,
|
91 |
+
"learning_rate": 1.1926605504587156e-05,
|
92 |
+
"loss": 0.9991,
|
93 |
+
"step": 65
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.06,
|
97 |
+
"learning_rate": 1.2844036697247708e-05,
|
98 |
+
"loss": 1.0178,
|
99 |
+
"step": 70
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.07,
|
103 |
+
"learning_rate": 1.3761467889908258e-05,
|
104 |
+
"loss": 0.9941,
|
105 |
+
"step": 75
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.07,
|
109 |
+
"learning_rate": 1.4678899082568809e-05,
|
110 |
+
"loss": 1.0157,
|
111 |
+
"step": 80
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.08,
|
115 |
+
"learning_rate": 1.559633027522936e-05,
|
116 |
+
"loss": 1.0254,
|
117 |
+
"step": 85
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.08,
|
121 |
+
"learning_rate": 1.6513761467889912e-05,
|
122 |
+
"loss": 1.0103,
|
123 |
+
"step": 90
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.09,
|
127 |
+
"learning_rate": 1.743119266055046e-05,
|
128 |
+
"loss": 1.0006,
|
129 |
+
"step": 95
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.09,
|
133 |
+
"learning_rate": 1.834862385321101e-05,
|
134 |
+
"loss": 0.9974,
|
135 |
+
"step": 100
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.1,
|
139 |
+
"learning_rate": 1.9266055045871563e-05,
|
140 |
+
"loss": 1.0041,
|
141 |
+
"step": 105
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.1,
|
145 |
+
"learning_rate": 1.999994861726391e-05,
|
146 |
+
"loss": 1.0137,
|
147 |
+
"step": 110
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.11,
|
151 |
+
"learning_rate": 1.99981502769439e-05,
|
152 |
+
"loss": 1.0078,
|
153 |
+
"step": 115
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.11,
|
157 |
+
"learning_rate": 1.999378332783191e-05,
|
158 |
+
"loss": 1.0148,
|
159 |
+
"step": 120
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.11,
|
163 |
+
"learning_rate": 1.9986848891833846e-05,
|
164 |
+
"loss": 1.0185,
|
165 |
+
"step": 125
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.12,
|
169 |
+
"learning_rate": 1.997734875046456e-05,
|
170 |
+
"loss": 1.0105,
|
171 |
+
"step": 130
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.12,
|
175 |
+
"learning_rate": 1.9965285344390185e-05,
|
176 |
+
"loss": 1.0015,
|
177 |
+
"step": 135
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.13,
|
181 |
+
"learning_rate": 1.9950661772801062e-05,
|
182 |
+
"loss": 1.0084,
|
183 |
+
"step": 140
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.13,
|
187 |
+
"learning_rate": 1.9933481792615583e-05,
|
188 |
+
"loss": 1.0053,
|
189 |
+
"step": 145
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.14,
|
193 |
+
"learning_rate": 1.9913749817514963e-05,
|
194 |
+
"loss": 1.0154,
|
195 |
+
"step": 150
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.14,
|
199 |
+
"learning_rate": 1.9891470916809362e-05,
|
200 |
+
"loss": 1.0014,
|
201 |
+
"step": 155
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.15,
|
205 |
+
"learning_rate": 1.986665081413552e-05,
|
206 |
+
"loss": 1.0092,
|
207 |
+
"step": 160
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.15,
|
211 |
+
"learning_rate": 1.98392958859863e-05,
|
212 |
+
"loss": 1.0185,
|
213 |
+
"step": 165
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.16,
|
217 |
+
"learning_rate": 1.980941316007253e-05,
|
218 |
+
"loss": 1.0176,
|
219 |
+
"step": 170
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.16,
|
223 |
+
"learning_rate": 1.9777010313517517e-05,
|
224 |
+
"loss": 1.0089,
|
225 |
+
"step": 175
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.17,
|
229 |
+
"learning_rate": 1.974209567088473e-05,
|
230 |
+
"loss": 1.0228,
|
231 |
+
"step": 180
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.17,
|
235 |
+
"learning_rate": 1.9704678202039148e-05,
|
236 |
+
"loss": 1.0189,
|
237 |
+
"step": 185
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.17,
|
241 |
+
"learning_rate": 1.966476751984283e-05,
|
242 |
+
"loss": 0.9983,
|
243 |
+
"step": 190
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.18,
|
247 |
+
"learning_rate": 1.962237387768529e-05,
|
248 |
+
"loss": 1.0197,
|
249 |
+
"step": 195
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.18,
|
253 |
+
"learning_rate": 1.9577508166849308e-05,
|
254 |
+
"loss": 1.0004,
|
255 |
+
"step": 200
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.19,
|
259 |
+
"learning_rate": 1.9530181913712875e-05,
|
260 |
+
"loss": 0.9991,
|
261 |
+
"step": 205
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.19,
|
265 |
+
"learning_rate": 1.9480407276787968e-05,
|
266 |
+
"loss": 1.0092,
|
267 |
+
"step": 210
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.2,
|
271 |
+
"learning_rate": 1.942819704359693e-05,
|
272 |
+
"loss": 0.9886,
|
273 |
+
"step": 215
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.2,
|
277 |
+
"learning_rate": 1.9373564627387243e-05,
|
278 |
+
"loss": 1.0196,
|
279 |
+
"step": 220
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.21,
|
283 |
+
"learning_rate": 1.9316524063685544e-05,
|
284 |
+
"loss": 1.0169,
|
285 |
+
"step": 225
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.21,
|
289 |
+
"learning_rate": 1.92570900066918e-05,
|
290 |
+
"loss": 1.0254,
|
291 |
+
"step": 230
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.22,
|
295 |
+
"learning_rate": 1.919527772551451e-05,
|
296 |
+
"loss": 1.0024,
|
297 |
+
"step": 235
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.22,
|
301 |
+
"learning_rate": 1.9131103100247934e-05,
|
302 |
+
"loss": 1.0204,
|
303 |
+
"step": 240
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.22,
|
307 |
+
"learning_rate": 1.9064582617892383e-05,
|
308 |
+
"loss": 1.0196,
|
309 |
+
"step": 245
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.23,
|
313 |
+
"learning_rate": 1.8995733368118556e-05,
|
314 |
+
"loss": 1.0135,
|
315 |
+
"step": 250
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.23,
|
319 |
+
"learning_rate": 1.8924573038877062e-05,
|
320 |
+
"loss": 1.0254,
|
321 |
+
"step": 255
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.24,
|
325 |
+
"learning_rate": 1.8851119911854236e-05,
|
326 |
+
"loss": 1.0024,
|
327 |
+
"step": 260
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.24,
|
331 |
+
"learning_rate": 1.877539285777543e-05,
|
332 |
+
"loss": 1.0066,
|
333 |
+
"step": 265
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.25,
|
337 |
+
"learning_rate": 1.8697411331556958e-05,
|
338 |
+
"loss": 0.9814,
|
339 |
+
"step": 270
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.25,
|
343 |
+
"learning_rate": 1.861719536730795e-05,
|
344 |
+
"loss": 0.9967,
|
345 |
+
"step": 275
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.26,
|
349 |
+
"learning_rate": 1.853476557318346e-05,
|
350 |
+
"loss": 1.0078,
|
351 |
+
"step": 280
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.26,
|
355 |
+
"learning_rate": 1.8450143126090015e-05,
|
356 |
+
"loss": 1.0156,
|
357 |
+
"step": 285
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.27,
|
361 |
+
"learning_rate": 1.8363349766245108e-05,
|
362 |
+
"loss": 1.0144,
|
363 |
+
"step": 290
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.27,
|
367 |
+
"learning_rate": 1.8274407791591966e-05,
|
368 |
+
"loss": 1.0124,
|
369 |
+
"step": 295
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.28,
|
373 |
+
"learning_rate": 1.8183340052071e-05,
|
374 |
+
"loss": 0.9986,
|
375 |
+
"step": 300
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.28,
|
379 |
+
"learning_rate": 1.8090169943749477e-05,
|
380 |
+
"loss": 0.9987,
|
381 |
+
"step": 305
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.28,
|
385 |
+
"learning_rate": 1.7994921402810862e-05,
|
386 |
+
"loss": 1.0137,
|
387 |
+
"step": 310
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.29,
|
391 |
+
"learning_rate": 1.7897618899405423e-05,
|
392 |
+
"loss": 1.0134,
|
393 |
+
"step": 315
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.29,
|
397 |
+
"learning_rate": 1.7798287431363644e-05,
|
398 |
+
"loss": 1.0011,
|
399 |
+
"step": 320
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.3,
|
403 |
+
"learning_rate": 1.769695251777406e-05,
|
404 |
+
"loss": 0.9996,
|
405 |
+
"step": 325
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.3,
|
409 |
+
"learning_rate": 1.75936401924272e-05,
|
410 |
+
"loss": 1.0123,
|
411 |
+
"step": 330
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.31,
|
415 |
+
"learning_rate": 1.748837699712728e-05,
|
416 |
+
"loss": 1.003,
|
417 |
+
"step": 335
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.31,
|
421 |
+
"learning_rate": 1.738118997487341e-05,
|
422 |
+
"loss": 1.008,
|
423 |
+
"step": 340
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.32,
|
427 |
+
"learning_rate": 1.7272106662911972e-05,
|
428 |
+
"loss": 0.9967,
|
429 |
+
"step": 345
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.32,
|
433 |
+
"learning_rate": 1.7161155085662144e-05,
|
434 |
+
"loss": 0.9983,
|
435 |
+
"step": 350
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.33,
|
439 |
+
"learning_rate": 1.704836374751612e-05,
|
440 |
+
"loss": 0.9894,
|
441 |
+
"step": 355
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.33,
|
445 |
+
"learning_rate": 1.693376162551613e-05,
|
446 |
+
"loss": 0.9987,
|
447 |
+
"step": 360
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.34,
|
451 |
+
"learning_rate": 1.6817378161909995e-05,
|
452 |
+
"loss": 0.9949,
|
453 |
+
"step": 365
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.34,
|
457 |
+
"learning_rate": 1.6699243256587156e-05,
|
458 |
+
"loss": 0.9991,
|
459 |
+
"step": 370
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.34,
|
463 |
+
"learning_rate": 1.657938725939713e-05,
|
464 |
+
"loss": 0.997,
|
465 |
+
"step": 375
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.35,
|
469 |
+
"learning_rate": 1.6457840962352403e-05,
|
470 |
+
"loss": 0.9866,
|
471 |
+
"step": 380
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.35,
|
475 |
+
"learning_rate": 1.63346355917177e-05,
|
476 |
+
"loss": 0.9847,
|
477 |
+
"step": 385
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.36,
|
481 |
+
"learning_rate": 1.6209802799987674e-05,
|
482 |
+
"loss": 0.9972,
|
483 |
+
"step": 390
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.36,
|
487 |
+
"learning_rate": 1.6083374657755132e-05,
|
488 |
+
"loss": 0.9712,
|
489 |
+
"step": 395
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.37,
|
493 |
+
"learning_rate": 1.5955383645471828e-05,
|
494 |
+
"loss": 0.9911,
|
495 |
+
"step": 400
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.37,
|
499 |
+
"learning_rate": 1.5825862645103962e-05,
|
500 |
+
"loss": 0.9882,
|
501 |
+
"step": 405
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.38,
|
505 |
+
"learning_rate": 1.569484493168452e-05,
|
506 |
+
"loss": 0.9958,
|
507 |
+
"step": 410
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.38,
|
511 |
+
"learning_rate": 1.556236416476465e-05,
|
512 |
+
"loss": 0.9738,
|
513 |
+
"step": 415
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.39,
|
517 |
+
"learning_rate": 1.5428454379766223e-05,
|
518 |
+
"loss": 0.9654,
|
519 |
+
"step": 420
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.39,
|
523 |
+
"learning_rate": 1.5293149979237875e-05,
|
524 |
+
"loss": 0.987,
|
525 |
+
"step": 425
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.39,
|
529 |
+
"learning_rate": 1.5156485724016672e-05,
|
530 |
+
"loss": 0.9919,
|
531 |
+
"step": 430
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.4,
|
535 |
+
"learning_rate": 1.5018496724297778e-05,
|
536 |
+
"loss": 1.011,
|
537 |
+
"step": 435
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.4,
|
541 |
+
"learning_rate": 1.4879218430614346e-05,
|
542 |
+
"loss": 0.9793,
|
543 |
+
"step": 440
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.41,
|
547 |
+
"learning_rate": 1.4738686624729987e-05,
|
548 |
+
"loss": 0.9981,
|
549 |
+
"step": 445
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.41,
|
553 |
+
"learning_rate": 1.4596937410446117e-05,
|
554 |
+
"loss": 1.0022,
|
555 |
+
"step": 450
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.42,
|
559 |
+
"learning_rate": 1.4454007204326592e-05,
|
560 |
+
"loss": 0.9988,
|
561 |
+
"step": 455
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.42,
|
565 |
+
"learning_rate": 1.4309932726342007e-05,
|
566 |
+
"loss": 0.9803,
|
567 |
+
"step": 460
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.43,
|
571 |
+
"learning_rate": 1.4164750990435991e-05,
|
572 |
+
"loss": 0.9845,
|
573 |
+
"step": 465
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.43,
|
577 |
+
"learning_rate": 1.4018499295016057e-05,
|
578 |
+
"loss": 0.9902,
|
579 |
+
"step": 470
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.44,
|
583 |
+
"learning_rate": 1.3871215213371284e-05,
|
584 |
+
"loss": 0.9816,
|
585 |
+
"step": 475
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.44,
|
589 |
+
"learning_rate": 1.3722936584019453e-05,
|
590 |
+
"loss": 0.9785,
|
591 |
+
"step": 480
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.45,
|
595 |
+
"learning_rate": 1.3573701500986012e-05,
|
596 |
+
"loss": 0.9802,
|
597 |
+
"step": 485
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.45,
|
601 |
+
"learning_rate": 1.342354830401738e-05,
|
602 |
+
"loss": 0.986,
|
603 |
+
"step": 490
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.45,
|
607 |
+
"learning_rate": 1.327251556873117e-05,
|
608 |
+
"loss": 0.9719,
|
609 |
+
"step": 495
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.46,
|
613 |
+
"learning_rate": 1.3120642096705773e-05,
|
614 |
+
"loss": 0.9845,
|
615 |
+
"step": 500
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.46,
|
619 |
+
"learning_rate": 1.2967966905511906e-05,
|
620 |
+
"loss": 0.989,
|
621 |
+
"step": 505
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.47,
|
625 |
+
"learning_rate": 1.2814529218688688e-05,
|
626 |
+
"loss": 0.9675,
|
627 |
+
"step": 510
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.47,
|
631 |
+
"learning_rate": 1.2660368455666752e-05,
|
632 |
+
"loss": 0.9767,
|
633 |
+
"step": 515
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.48,
|
637 |
+
"learning_rate": 1.2505524221641097e-05,
|
638 |
+
"loss": 0.9966,
|
639 |
+
"step": 520
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.48,
|
643 |
+
"learning_rate": 1.2350036297396153e-05,
|
644 |
+
"loss": 0.9569,
|
645 |
+
"step": 525
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.49,
|
649 |
+
"learning_rate": 1.2193944629085778e-05,
|
650 |
+
"loss": 0.9773,
|
651 |
+
"step": 530
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.49,
|
655 |
+
"learning_rate": 1.2037289317970757e-05,
|
656 |
+
"loss": 0.9683,
|
657 |
+
"step": 535
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.5,
|
661 |
+
"learning_rate": 1.1880110610116438e-05,
|
662 |
+
"loss": 0.9737,
|
663 |
+
"step": 540
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.5,
|
667 |
+
"learning_rate": 1.172244888605319e-05,
|
668 |
+
"loss": 0.9781,
|
669 |
+
"step": 545
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.51,
|
673 |
+
"learning_rate": 1.156434465040231e-05,
|
674 |
+
"loss": 0.9362,
|
675 |
+
"step": 550
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.51,
|
679 |
+
"learning_rate": 1.140583852147003e-05,
|
680 |
+
"loss": 0.9604,
|
681 |
+
"step": 555
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.51,
|
685 |
+
"learning_rate": 1.1246971220812348e-05,
|
686 |
+
"loss": 0.9693,
|
687 |
+
"step": 560
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.52,
|
691 |
+
"learning_rate": 1.108778356277331e-05,
|
692 |
+
"loss": 0.9694,
|
693 |
+
"step": 565
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.52,
|
697 |
+
"learning_rate": 1.0928316443999462e-05,
|
698 |
+
"loss": 0.9649,
|
699 |
+
"step": 570
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.53,
|
703 |
+
"learning_rate": 1.0768610832933169e-05,
|
704 |
+
"loss": 0.9636,
|
705 |
+
"step": 575
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.53,
|
709 |
+
"learning_rate": 1.0608707759287454e-05,
|
710 |
+
"loss": 0.9681,
|
711 |
+
"step": 580
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.54,
|
715 |
+
"learning_rate": 1.044864830350515e-05,
|
716 |
+
"loss": 0.976,
|
717 |
+
"step": 585
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.54,
|
721 |
+
"learning_rate": 1.028847358620497e-05,
|
722 |
+
"loss": 0.9476,
|
723 |
+
"step": 590
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.55,
|
727 |
+
"learning_rate": 1.0128224757617272e-05,
|
728 |
+
"loss": 0.9634,
|
729 |
+
"step": 595
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.55,
|
733 |
+
"learning_rate": 9.967942987012243e-06,
|
734 |
+
"loss": 0.9747,
|
735 |
+
"step": 600
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.56,
|
739 |
+
"learning_rate": 9.80766945212313e-06,
|
740 |
+
"loss": 0.9569,
|
741 |
+
"step": 605
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.56,
|
745 |
+
"learning_rate": 9.647445328567368e-06,
|
746 |
+
"loss": 0.9764,
|
747 |
+
"step": 610
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.56,
|
751 |
+
"learning_rate": 9.48731177926821e-06,
|
752 |
+
"loss": 0.9533,
|
753 |
+
"step": 615
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.57,
|
757 |
+
"learning_rate": 9.327309943879604e-06,
|
758 |
+
"loss": 0.9652,
|
759 |
+
"step": 620
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.57,
|
763 |
+
"learning_rate": 9.167480928217108e-06,
|
764 |
+
"loss": 0.9585,
|
765 |
+
"step": 625
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.58,
|
769 |
+
"learning_rate": 9.007865793697425e-06,
|
770 |
+
"loss": 0.9581,
|
771 |
+
"step": 630
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.58,
|
775 |
+
"learning_rate": 8.848505546789407e-06,
|
776 |
+
"loss": 0.9778,
|
777 |
+
"step": 635
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.59,
|
781 |
+
"learning_rate": 8.689441128479134e-06,
|
782 |
+
"loss": 0.9708,
|
783 |
+
"step": 640
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.59,
|
787 |
+
"learning_rate": 8.530713403751822e-06,
|
788 |
+
"loss": 0.9608,
|
789 |
+
"step": 645
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.6,
|
793 |
+
"learning_rate": 8.372363151093302e-06,
|
794 |
+
"loss": 0.9606,
|
795 |
+
"step": 650
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.6,
|
799 |
+
"learning_rate": 8.214431052013636e-06,
|
800 |
+
"loss": 0.9628,
|
801 |
+
"step": 655
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.61,
|
805 |
+
"learning_rate": 8.056957680595733e-06,
|
806 |
+
"loss": 0.9792,
|
807 |
+
"step": 660
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.61,
|
811 |
+
"learning_rate": 7.899983493071506e-06,
|
812 |
+
"loss": 0.9443,
|
813 |
+
"step": 665
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.62,
|
817 |
+
"learning_rate": 7.74354881742834e-06,
|
818 |
+
"loss": 0.9482,
|
819 |
+
"step": 670
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.62,
|
823 |
+
"learning_rate": 7.587693843048475e-06,
|
824 |
+
"loss": 0.9664,
|
825 |
+
"step": 675
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.62,
|
829 |
+
"learning_rate": 7.432458610384037e-06,
|
830 |
+
"loss": 0.9551,
|
831 |
+
"step": 680
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.63,
|
835 |
+
"learning_rate": 7.27788300067029e-06,
|
836 |
+
"loss": 0.9468,
|
837 |
+
"step": 685
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.63,
|
841 |
+
"learning_rate": 7.124006725679828e-06,
|
842 |
+
"loss": 0.9468,
|
843 |
+
"step": 690
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.64,
|
847 |
+
"learning_rate": 6.97086931752028e-06,
|
848 |
+
"loss": 0.9351,
|
849 |
+
"step": 695
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.64,
|
853 |
+
"learning_rate": 6.818510118478172e-06,
|
854 |
+
"loss": 0.9474,
|
855 |
+
"step": 700
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.65,
|
859 |
+
"learning_rate": 6.666968270911585e-06,
|
860 |
+
"loss": 0.9416,
|
861 |
+
"step": 705
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.65,
|
865 |
+
"learning_rate": 6.5162827071941194e-06,
|
866 |
+
"loss": 0.9444,
|
867 |
+
"step": 710
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.66,
|
871 |
+
"learning_rate": 6.366492139712886e-06,
|
872 |
+
"loss": 0.9407,
|
873 |
+
"step": 715
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.66,
|
877 |
+
"learning_rate": 6.217635050922923e-06,
|
878 |
+
"loss": 0.9594,
|
879 |
+
"step": 720
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.67,
|
883 |
+
"learning_rate": 6.069749683460765e-06,
|
884 |
+
"loss": 0.9441,
|
885 |
+
"step": 725
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.67,
|
889 |
+
"learning_rate": 5.922874030319567e-06,
|
890 |
+
"loss": 0.9318,
|
891 |
+
"step": 730
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.67,
|
895 |
+
"learning_rate": 5.7770458250884044e-06,
|
896 |
+
"loss": 0.9424,
|
897 |
+
"step": 735
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.68,
|
901 |
+
"learning_rate": 5.6323025322581694e-06,
|
902 |
+
"loss": 0.9462,
|
903 |
+
"step": 740
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.68,
|
907 |
+
"learning_rate": 5.488681337596653e-06,
|
908 |
+
"loss": 0.9335,
|
909 |
+
"step": 745
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.69,
|
913 |
+
"learning_rate": 5.346219138595215e-06,
|
914 |
+
"loss": 0.9482,
|
915 |
+
"step": 750
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.69,
|
919 |
+
"learning_rate": 5.2049525349894625e-06,
|
920 |
+
"loss": 0.9221,
|
921 |
+
"step": 755
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.7,
|
925 |
+
"learning_rate": 5.064917819356532e-06,
|
926 |
+
"loss": 0.9371,
|
927 |
+
"step": 760
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.7,
|
931 |
+
"learning_rate": 4.92615096779118e-06,
|
932 |
+
"loss": 0.9476,
|
933 |
+
"step": 765
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.71,
|
937 |
+
"learning_rate": 4.788687630663232e-06,
|
938 |
+
"loss": 0.9509,
|
939 |
+
"step": 770
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.71,
|
943 |
+
"learning_rate": 4.652563123458703e-06,
|
944 |
+
"loss": 0.9403,
|
945 |
+
"step": 775
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.72,
|
949 |
+
"learning_rate": 4.517812417706967e-06,
|
950 |
+
"loss": 0.9561,
|
951 |
+
"step": 780
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.72,
|
955 |
+
"learning_rate": 4.3844701319962525e-06,
|
956 |
+
"loss": 0.9271,
|
957 |
+
"step": 785
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.73,
|
961 |
+
"learning_rate": 4.252570523079852e-06,
|
962 |
+
"loss": 0.9379,
|
963 |
+
"step": 790
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.73,
|
967 |
+
"learning_rate": 4.12214747707527e-06,
|
968 |
+
"loss": 0.9291,
|
969 |
+
"step": 795
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.73,
|
973 |
+
"learning_rate": 3.993234500758597e-06,
|
974 |
+
"loss": 0.9394,
|
975 |
+
"step": 800
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.74,
|
979 |
+
"learning_rate": 3.865864712956336e-06,
|
980 |
+
"loss": 0.9482,
|
981 |
+
"step": 805
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.74,
|
985 |
+
"learning_rate": 3.740070836036893e-06,
|
986 |
+
"loss": 0.9267,
|
987 |
+
"step": 810
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.75,
|
991 |
+
"learning_rate": 3.6158851875039458e-06,
|
992 |
+
"loss": 0.9338,
|
993 |
+
"step": 815
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.75,
|
997 |
+
"learning_rate": 3.493339671693765e-06,
|
998 |
+
"loss": 0.943,
|
999 |
+
"step": 820
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.76,
|
1003 |
+
"learning_rate": 3.372465771578771e-06,
|
1004 |
+
"loss": 0.9358,
|
1005 |
+
"step": 825
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.76,
|
1009 |
+
"learning_rate": 3.2532945406792573e-06,
|
1010 |
+
"loss": 0.9317,
|
1011 |
+
"step": 830
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.77,
|
1015 |
+
"learning_rate": 3.135856595085498e-06,
|
1016 |
+
"loss": 0.9381,
|
1017 |
+
"step": 835
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.77,
|
1021 |
+
"learning_rate": 3.02018210559221e-06,
|
1022 |
+
"loss": 0.9284,
|
1023 |
+
"step": 840
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.78,
|
1027 |
+
"learning_rate": 2.9063007899474214e-06,
|
1028 |
+
"loss": 0.9266,
|
1029 |
+
"step": 845
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.78,
|
1033 |
+
"learning_rate": 2.794241905217753e-06,
|
1034 |
+
"loss": 0.9358,
|
1035 |
+
"step": 850
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.79,
|
1039 |
+
"learning_rate": 2.6840342402719867e-06,
|
1040 |
+
"loss": 0.9349,
|
1041 |
+
"step": 855
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.79,
|
1045 |
+
"learning_rate": 2.5757061083850153e-06,
|
1046 |
+
"loss": 0.9377,
|
1047 |
+
"step": 860
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.79,
|
1051 |
+
"learning_rate": 2.469285339963892e-06,
|
1052 |
+
"loss": 0.9396,
|
1053 |
+
"step": 865
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.8,
|
1057 |
+
"learning_rate": 2.3647992753979698e-06,
|
1058 |
+
"loss": 0.922,
|
1059 |
+
"step": 870
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.8,
|
1063 |
+
"learning_rate": 2.2622747580349313e-06,
|
1064 |
+
"loss": 0.9232,
|
1065 |
+
"step": 875
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.81,
|
1069 |
+
"learning_rate": 2.1617381272845174e-06,
|
1070 |
+
"loss": 0.9269,
|
1071 |
+
"step": 880
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.81,
|
1075 |
+
"learning_rate": 2.063215211851678e-06,
|
1076 |
+
"loss": 0.9323,
|
1077 |
+
"step": 885
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.82,
|
1081 |
+
"learning_rate": 1.9667313231009955e-06,
|
1082 |
+
"loss": 0.9264,
|
1083 |
+
"step": 890
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.82,
|
1087 |
+
"learning_rate": 1.8723112485539741e-06,
|
1088 |
+
"loss": 0.9233,
|
1089 |
+
"step": 895
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.83,
|
1093 |
+
"learning_rate": 1.7799792455209019e-06,
|
1094 |
+
"loss": 0.9325,
|
1095 |
+
"step": 900
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.83,
|
1099 |
+
"learning_rate": 1.6897590348689607e-06,
|
1100 |
+
"loss": 0.9426,
|
1101 |
+
"step": 905
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.84,
|
1105 |
+
"learning_rate": 1.601673794928127e-06,
|
1106 |
+
"loss": 0.9276,
|
1107 |
+
"step": 910
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.84,
|
1111 |
+
"learning_rate": 1.5157461555364772e-06,
|
1112 |
+
"loss": 0.9373,
|
1113 |
+
"step": 915
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.84,
|
1117 |
+
"learning_rate": 1.4319981922263636e-06,
|
1118 |
+
"loss": 0.9341,
|
1119 |
+
"step": 920
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.85,
|
1123 |
+
"learning_rate": 1.350451420553065e-06,
|
1124 |
+
"loss": 0.9356,
|
1125 |
+
"step": 925
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.85,
|
1129 |
+
"learning_rate": 1.271126790567223e-06,
|
1130 |
+
"loss": 0.9189,
|
1131 |
+
"step": 930
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.86,
|
1135 |
+
"learning_rate": 1.19404468143262e-06,
|
1136 |
+
"loss": 0.9093,
|
1137 |
+
"step": 935
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.86,
|
1141 |
+
"learning_rate": 1.119224896190595e-06,
|
1142 |
+
"loss": 0.9331,
|
1143 |
+
"step": 940
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.87,
|
1147 |
+
"learning_rate": 1.0466866566724698e-06,
|
1148 |
+
"loss": 0.9154,
|
1149 |
+
"step": 945
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.87,
|
1153 |
+
"learning_rate": 9.764485985613092e-07,
|
1154 |
+
"loss": 0.9145,
|
1155 |
+
"step": 950
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.88,
|
1159 |
+
"learning_rate": 9.085287666042508e-07,
|
1160 |
+
"loss": 0.9264,
|
1161 |
+
"step": 955
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.88,
|
1165 |
+
"learning_rate": 8.429446099766614e-07,
|
1166 |
+
"loss": 0.9288,
|
1167 |
+
"step": 960
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.89,
|
1171 |
+
"learning_rate": 7.797129777992951e-07,
|
1172 |
+
"loss": 0.9188,
|
1173 |
+
"step": 965
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.89,
|
1177 |
+
"learning_rate": 7.188501148096117e-07,
|
1178 |
+
"loss": 0.9216,
|
1179 |
+
"step": 970
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.9,
|
1183 |
+
"learning_rate": 6.60371657188369e-07,
|
1184 |
+
"loss": 0.9218,
|
1185 |
+
"step": 975
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.9,
|
1189 |
+
"learning_rate": 6.042926285425577e-07,
|
1190 |
+
"loss": 0.9174,
|
1191 |
+
"step": 980
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.9,
|
1195 |
+
"learning_rate": 5.506274360457087e-07,
|
1196 |
+
"loss": 0.9052,
|
1197 |
+
"step": 985
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.91,
|
1201 |
+
"learning_rate": 4.993898667365671e-07,
|
1202 |
+
"loss": 0.9303,
|
1203 |
+
"step": 990
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.91,
|
1207 |
+
"learning_rate": 4.505930839770967e-07,
|
1208 |
+
"loss": 0.9262,
|
1209 |
+
"step": 995
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.92,
|
1213 |
+
"learning_rate": 4.0424962407068167e-07,
|
1214 |
+
"loss": 0.9285,
|
1215 |
+
"step": 1000
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.92,
|
1219 |
+
"learning_rate": 3.603713930414676e-07,
|
1220 |
+
"loss": 0.9216,
|
1221 |
+
"step": 1005
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.93,
|
1225 |
+
"learning_rate": 3.189696635755868e-07,
|
1226 |
+
"loss": 0.9181,
|
1227 |
+
"step": 1010
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.93,
|
1231 |
+
"learning_rate": 2.8005507212512164e-07,
|
1232 |
+
"loss": 0.9161,
|
1233 |
+
"step": 1015
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.94,
|
1237 |
+
"learning_rate": 2.436376161755005e-07,
|
1238 |
+
"loss": 0.9286,
|
1239 |
+
"step": 1020
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.94,
|
1243 |
+
"learning_rate": 2.097266516770713e-07,
|
1244 |
+
"loss": 0.9329,
|
1245 |
+
"step": 1025
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.95,
|
1249 |
+
"learning_rate": 1.7833089064146825e-07,
|
1250 |
+
"loss": 0.9304,
|
1251 |
+
"step": 1030
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.95,
|
1255 |
+
"learning_rate": 1.494583989034326e-07,
|
1256 |
+
"loss": 0.9353,
|
1257 |
+
"step": 1035
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.96,
|
1261 |
+
"learning_rate": 1.231165940486234e-07,
|
1262 |
+
"loss": 0.9119,
|
1263 |
+
"step": 1040
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.96,
|
1267 |
+
"learning_rate": 9.931224350798185e-08,
|
1268 |
+
"loss": 0.918,
|
1269 |
+
"step": 1045
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.96,
|
1273 |
+
"learning_rate": 7.805146281912202e-08,
|
1274 |
+
"loss": 0.914,
|
1275 |
+
"step": 1050
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.97,
|
1279 |
+
"learning_rate": 5.933971405519656e-08,
|
1280 |
+
"loss": 0.9287,
|
1281 |
+
"step": 1055
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.97,
|
1285 |
+
"learning_rate": 4.318180442164588e-08,
|
1286 |
+
"loss": 0.9122,
|
1287 |
+
"step": 1060
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.98,
|
1291 |
+
"learning_rate": 2.9581885021181534e-08,
|
1292 |
+
"loss": 0.9115,
|
1293 |
+
"step": 1065
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.98,
|
1297 |
+
"learning_rate": 1.854344978733824e-08,
|
1298 |
+
"loss": 0.9131,
|
1299 |
+
"step": 1070
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.99,
|
1303 |
+
"learning_rate": 1.0069334586854106e-08,
|
1304 |
+
"loss": 0.9036,
|
1305 |
+
"step": 1075
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.99,
|
1309 |
+
"learning_rate": 4.161716491105639e-09,
|
1310 |
+
"loss": 0.9243,
|
1311 |
+
"step": 1080
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 1.0,
|
1315 |
+
"learning_rate": 8.221132168073631e-10,
|
1316 |
+
"loss": 0.91,
|
1317 |
+
"step": 1085
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 1.0,
|
1321 |
+
"eval_loss": 0.9352424740791321,
|
1322 |
+
"eval_runtime": 319.1826,
|
1323 |
+
"eval_samples_per_second": 48.302,
|
1324 |
+
"eval_steps_per_second": 0.755,
|
1325 |
+
"step": 1089
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 1.0,
|
1329 |
+
"step": 1089,
|
1330 |
+
"total_flos": 456028890071040.0,
|
1331 |
+
"train_loss": 0.9776419559895609,
|
1332 |
+
"train_runtime": 12679.62,
|
1333 |
+
"train_samples_per_second": 10.987,
|
1334 |
+
"train_steps_per_second": 0.086
|
1335 |
+
}
|
1336 |
+
],
|
1337 |
+
"logging_steps": 5,
|
1338 |
+
"max_steps": 1089,
|
1339 |
+
"num_input_tokens_seen": 0,
|
1340 |
+
"num_train_epochs": 1,
|
1341 |
+
"save_steps": 100,
|
1342 |
+
"total_flos": 456028890071040.0,
|
1343 |
+
"train_batch_size": 16,
|
1344 |
+
"trial_name": null,
|
1345 |
+
"trial_params": null
|
1346 |
+
}
|