martimfasantos
commited on
Commit
•
66cd223
1
Parent(s):
4eae9d0
Model save
Browse files- README.md +65 -0
- all_results.json +9 -0
- generation_config.json +11 -0
- runs/Aug02_22-17-19_poseidon/events.out.tfevents.1722637052.poseidon.1348942.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1947 -0
README.md
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: gemma
|
3 |
+
base_model: google/gemma-2-2b-it
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: gemma-2-2b-it-sum-sft-full_1epochs
|
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 |
+
# gemma-2-2b-it-sum-sft-full_1epochs
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 2.1641
|
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: 1
|
43 |
+
- eval_batch_size: 2
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- gradient_accumulation_steps: 16
|
47 |
+
- total_train_batch_size: 16
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
+
- lr_scheduler_type: cosine
|
50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
51 |
+
- num_epochs: 1
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
+
|:-------------:|:------:|:----:|:---------------:|
|
57 |
+
| 2.1688 | 0.9994 | 1350 | 2.1641 |
|
58 |
+
|
59 |
+
|
60 |
+
### Framework versions
|
61 |
+
|
62 |
+
- Transformers 4.43.3
|
63 |
+
- Pytorch 2.1.2
|
64 |
+
- Datasets 2.20.0
|
65 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9993522716757657,
|
3 |
+
"total_flos": 5.373491620442276e+17,
|
4 |
+
"train_loss": 2.19371005181913,
|
5 |
+
"train_runtime": 17533.5186,
|
6 |
+
"train_samples": 116722,
|
7 |
+
"train_samples_per_second": 1.233,
|
8 |
+
"train_steps_per_second": 0.077
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 2,
|
4 |
+
"cache_implementation": "hybrid",
|
5 |
+
"eos_token_id": [
|
6 |
+
1,
|
7 |
+
107
|
8 |
+
],
|
9 |
+
"pad_token_id": 0,
|
10 |
+
"transformers_version": "4.43.3"
|
11 |
+
}
|
runs/Aug02_22-17-19_poseidon/events.out.tfevents.1722637052.poseidon.1348942.0
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 sha256:146d5849e2f397291c64aa9cbb9df857601cb39fc4d6999b6921561db41d7a81
|
3 |
+
size 63008
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9993522716757657,
|
3 |
+
"total_flos": 5.373491620442276e+17,
|
4 |
+
"train_loss": 2.19371005181913,
|
5 |
+
"train_runtime": 17533.5186,
|
6 |
+
"train_samples": 116722,
|
7 |
+
"train_samples_per_second": 1.233,
|
8 |
+
"train_steps_per_second": 0.077
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1947 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9993522716757657,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1350,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0007402609419820486,
|
13 |
+
"grad_norm": 13.5625,
|
14 |
+
"learning_rate": 1.4814814814814817e-07,
|
15 |
+
"loss": 2.7636,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0037013047099102433,
|
20 |
+
"grad_norm": 13.5,
|
21 |
+
"learning_rate": 7.407407407407407e-07,
|
22 |
+
"loss": 2.7044,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.007402609419820487,
|
27 |
+
"grad_norm": 12.0625,
|
28 |
+
"learning_rate": 1.4814814814814815e-06,
|
29 |
+
"loss": 2.6933,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01110391412973073,
|
34 |
+
"grad_norm": 9.75,
|
35 |
+
"learning_rate": 2.222222222222222e-06,
|
36 |
+
"loss": 2.6397,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.014805218839640973,
|
41 |
+
"grad_norm": 9.25,
|
42 |
+
"learning_rate": 2.962962962962963e-06,
|
43 |
+
"loss": 2.5469,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.018506523549551217,
|
48 |
+
"grad_norm": 4.3125,
|
49 |
+
"learning_rate": 3.7037037037037037e-06,
|
50 |
+
"loss": 2.4799,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02220782825946146,
|
55 |
+
"grad_norm": 3.4375,
|
56 |
+
"learning_rate": 4.444444444444444e-06,
|
57 |
+
"loss": 2.4496,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.025909132969371702,
|
62 |
+
"grad_norm": 3.171875,
|
63 |
+
"learning_rate": 5.185185185185185e-06,
|
64 |
+
"loss": 2.3571,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.029610437679281947,
|
69 |
+
"grad_norm": 2.8125,
|
70 |
+
"learning_rate": 5.925925925925926e-06,
|
71 |
+
"loss": 2.3253,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03331174238919219,
|
76 |
+
"grad_norm": 2.75,
|
77 |
+
"learning_rate": 6.666666666666667e-06,
|
78 |
+
"loss": 2.3086,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.037013047099102435,
|
83 |
+
"grad_norm": 2.6875,
|
84 |
+
"learning_rate": 7.4074074074074075e-06,
|
85 |
+
"loss": 2.2763,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04071435180901268,
|
90 |
+
"grad_norm": 2.375,
|
91 |
+
"learning_rate": 8.148148148148148e-06,
|
92 |
+
"loss": 2.2683,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04441565651892292,
|
97 |
+
"grad_norm": 2.515625,
|
98 |
+
"learning_rate": 8.888888888888888e-06,
|
99 |
+
"loss": 2.2694,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.04811696122883316,
|
104 |
+
"grad_norm": 2.25,
|
105 |
+
"learning_rate": 9.62962962962963e-06,
|
106 |
+
"loss": 2.2582,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.051818265938743405,
|
111 |
+
"grad_norm": 2.203125,
|
112 |
+
"learning_rate": 1.037037037037037e-05,
|
113 |
+
"loss": 2.2606,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.05551957064865365,
|
118 |
+
"grad_norm": 2.1875,
|
119 |
+
"learning_rate": 1.1111111111111113e-05,
|
120 |
+
"loss": 2.2405,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.05922087535856389,
|
125 |
+
"grad_norm": 2.1875,
|
126 |
+
"learning_rate": 1.1851851851851852e-05,
|
127 |
+
"loss": 2.2496,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06292218006847414,
|
132 |
+
"grad_norm": 2.1875,
|
133 |
+
"learning_rate": 1.2592592592592593e-05,
|
134 |
+
"loss": 2.2547,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.06662348477838438,
|
139 |
+
"grad_norm": 2.109375,
|
140 |
+
"learning_rate": 1.3333333333333333e-05,
|
141 |
+
"loss": 2.2488,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07032478948829463,
|
146 |
+
"grad_norm": 2.109375,
|
147 |
+
"learning_rate": 1.4074074074074075e-05,
|
148 |
+
"loss": 2.2479,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.07402609419820487,
|
153 |
+
"grad_norm": 2.03125,
|
154 |
+
"learning_rate": 1.4814814814814815e-05,
|
155 |
+
"loss": 2.2405,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.07772739890811511,
|
160 |
+
"grad_norm": 2.109375,
|
161 |
+
"learning_rate": 1.555555555555556e-05,
|
162 |
+
"loss": 2.222,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08142870361802536,
|
167 |
+
"grad_norm": 2.140625,
|
168 |
+
"learning_rate": 1.6296296296296297e-05,
|
169 |
+
"loss": 2.2254,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.0851300083279356,
|
174 |
+
"grad_norm": 2.0625,
|
175 |
+
"learning_rate": 1.7037037037037038e-05,
|
176 |
+
"loss": 2.2505,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.08883131303784585,
|
181 |
+
"grad_norm": 2.015625,
|
182 |
+
"learning_rate": 1.7777777777777777e-05,
|
183 |
+
"loss": 2.2367,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.09253261774775609,
|
188 |
+
"grad_norm": 2.1875,
|
189 |
+
"learning_rate": 1.851851851851852e-05,
|
190 |
+
"loss": 2.2275,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.09623392245766632,
|
195 |
+
"grad_norm": 2.078125,
|
196 |
+
"learning_rate": 1.925925925925926e-05,
|
197 |
+
"loss": 2.2258,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.09993522716757657,
|
202 |
+
"grad_norm": 2.03125,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 2.2103,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.10363653187748681,
|
209 |
+
"grad_norm": 2.015625,
|
210 |
+
"learning_rate": 1.9999164298554375e-05,
|
211 |
+
"loss": 2.2442,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.10733783658739705,
|
216 |
+
"grad_norm": 2.109375,
|
217 |
+
"learning_rate": 1.9996657333896875e-05,
|
218 |
+
"loss": 2.2542,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1110391412973073,
|
223 |
+
"grad_norm": 1.9765625,
|
224 |
+
"learning_rate": 1.9992479525042305e-05,
|
225 |
+
"loss": 2.2434,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.11474044600721754,
|
230 |
+
"grad_norm": 2.015625,
|
231 |
+
"learning_rate": 1.9986631570270835e-05,
|
232 |
+
"loss": 2.2195,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.11844175071712779,
|
237 |
+
"grad_norm": 2.03125,
|
238 |
+
"learning_rate": 1.9979114447011323e-05,
|
239 |
+
"loss": 2.2221,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.12214305542703803,
|
244 |
+
"grad_norm": 2.0,
|
245 |
+
"learning_rate": 1.996992941167792e-05,
|
246 |
+
"loss": 2.2276,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.12584436013694827,
|
251 |
+
"grad_norm": 2.03125,
|
252 |
+
"learning_rate": 1.9959077999460094e-05,
|
253 |
+
"loss": 2.2112,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.1295456648468585,
|
258 |
+
"grad_norm": 2.046875,
|
259 |
+
"learning_rate": 1.9946562024066018e-05,
|
260 |
+
"loss": 2.2086,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.13324696955676876,
|
265 |
+
"grad_norm": 1.9765625,
|
266 |
+
"learning_rate": 1.9932383577419432e-05,
|
267 |
+
"loss": 2.2095,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.136948274266679,
|
272 |
+
"grad_norm": 1.9921875,
|
273 |
+
"learning_rate": 1.991654502931001e-05,
|
274 |
+
"loss": 2.2194,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.14064957897658925,
|
279 |
+
"grad_norm": 1.953125,
|
280 |
+
"learning_rate": 1.9899049026997272e-05,
|
281 |
+
"loss": 2.229,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.14435088368649948,
|
286 |
+
"grad_norm": 1.9921875,
|
287 |
+
"learning_rate": 1.9879898494768093e-05,
|
288 |
+
"loss": 2.2252,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.14805218839640974,
|
293 |
+
"grad_norm": 1.9140625,
|
294 |
+
"learning_rate": 1.9859096633447965e-05,
|
295 |
+
"loss": 2.2168,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.15175349310631997,
|
300 |
+
"grad_norm": 2.046875,
|
301 |
+
"learning_rate": 1.9836646919866012e-05,
|
302 |
+
"loss": 2.2246,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15545479781623023,
|
307 |
+
"grad_norm": 1.9375,
|
308 |
+
"learning_rate": 1.9812553106273848e-05,
|
309 |
+
"loss": 2.2151,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.15915610252614046,
|
314 |
+
"grad_norm": 1.90625,
|
315 |
+
"learning_rate": 1.9786819219718443e-05,
|
316 |
+
"loss": 2.2176,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.16285740723605072,
|
321 |
+
"grad_norm": 1.9453125,
|
322 |
+
"learning_rate": 1.9759449561369036e-05,
|
323 |
+
"loss": 2.2279,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16655871194596095,
|
328 |
+
"grad_norm": 2.015625,
|
329 |
+
"learning_rate": 1.973044870579824e-05,
|
330 |
+
"loss": 2.2113,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.1702600166558712,
|
335 |
+
"grad_norm": 1.875,
|
336 |
+
"learning_rate": 1.9699821500217436e-05,
|
337 |
+
"loss": 2.2418,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.17396132136578144,
|
342 |
+
"grad_norm": 1.8984375,
|
343 |
+
"learning_rate": 1.9667573063666622e-05,
|
344 |
+
"loss": 2.2206,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1776626260756917,
|
349 |
+
"grad_norm": 1.9375,
|
350 |
+
"learning_rate": 1.9633708786158803e-05,
|
351 |
+
"loss": 2.2162,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.18136393078560192,
|
356 |
+
"grad_norm": 1.8828125,
|
357 |
+
"learning_rate": 1.959823432777912e-05,
|
358 |
+
"loss": 2.2015,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.18506523549551218,
|
363 |
+
"grad_norm": 1.90625,
|
364 |
+
"learning_rate": 1.95611556177388e-05,
|
365 |
+
"loss": 2.2095,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.1887665402054224,
|
370 |
+
"grad_norm": 1.828125,
|
371 |
+
"learning_rate": 1.9522478853384154e-05,
|
372 |
+
"loss": 2.2245,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.19246784491533264,
|
377 |
+
"grad_norm": 1.8984375,
|
378 |
+
"learning_rate": 1.9482210499160767e-05,
|
379 |
+
"loss": 2.2179,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.1961691496252429,
|
384 |
+
"grad_norm": 1.90625,
|
385 |
+
"learning_rate": 1.9440357285533e-05,
|
386 |
+
"loss": 2.2132,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.19987045433515313,
|
391 |
+
"grad_norm": 2.046875,
|
392 |
+
"learning_rate": 1.9396926207859085e-05,
|
393 |
+
"loss": 2.2024,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.2035717590450634,
|
398 |
+
"grad_norm": 1.859375,
|
399 |
+
"learning_rate": 1.93519245252219e-05,
|
400 |
+
"loss": 2.1749,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.20727306375497362,
|
405 |
+
"grad_norm": 2.171875,
|
406 |
+
"learning_rate": 1.9305359759215686e-05,
|
407 |
+
"loss": 2.2137,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.21097436846488388,
|
412 |
+
"grad_norm": 1.921875,
|
413 |
+
"learning_rate": 1.9257239692688907e-05,
|
414 |
+
"loss": 2.2294,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.2146756731747941,
|
419 |
+
"grad_norm": 1.90625,
|
420 |
+
"learning_rate": 1.9207572368443386e-05,
|
421 |
+
"loss": 2.2023,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.21837697788470437,
|
426 |
+
"grad_norm": 1.890625,
|
427 |
+
"learning_rate": 1.9156366087890062e-05,
|
428 |
+
"loss": 2.2113,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.2220782825946146,
|
433 |
+
"grad_norm": 1.9375,
|
434 |
+
"learning_rate": 1.9103629409661468e-05,
|
435 |
+
"loss": 2.2245,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.22577958730452485,
|
440 |
+
"grad_norm": 1.90625,
|
441 |
+
"learning_rate": 1.9049371148181253e-05,
|
442 |
+
"loss": 2.2102,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.22948089201443508,
|
447 |
+
"grad_norm": 1.9609375,
|
448 |
+
"learning_rate": 1.8993600372190933e-05,
|
449 |
+
"loss": 2.2243,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.23318219672434534,
|
454 |
+
"grad_norm": 1.90625,
|
455 |
+
"learning_rate": 1.8936326403234125e-05,
|
456 |
+
"loss": 2.2009,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.23688350143425557,
|
461 |
+
"grad_norm": 1.828125,
|
462 |
+
"learning_rate": 1.8877558814098564e-05,
|
463 |
+
"loss": 2.2078,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.24058480614416583,
|
468 |
+
"grad_norm": 1.8515625,
|
469 |
+
"learning_rate": 1.881730742721608e-05,
|
470 |
+
"loss": 2.2031,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.24428611085407606,
|
475 |
+
"grad_norm": 1.8515625,
|
476 |
+
"learning_rate": 1.8755582313020912e-05,
|
477 |
+
"loss": 2.1597,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.24798741556398632,
|
482 |
+
"grad_norm": 1.875,
|
483 |
+
"learning_rate": 1.8692393788266477e-05,
|
484 |
+
"loss": 2.1922,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.25168872027389655,
|
489 |
+
"grad_norm": 1.8984375,
|
490 |
+
"learning_rate": 1.8627752414301087e-05,
|
491 |
+
"loss": 2.1883,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.2553900249838068,
|
496 |
+
"grad_norm": 1.90625,
|
497 |
+
"learning_rate": 1.8561668995302668e-05,
|
498 |
+
"loss": 2.2097,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.259091329693717,
|
503 |
+
"grad_norm": 1.875,
|
504 |
+
"learning_rate": 1.8494154576472976e-05,
|
505 |
+
"loss": 2.2106,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.26279263440362727,
|
510 |
+
"grad_norm": 1.875,
|
511 |
+
"learning_rate": 1.8425220442191496e-05,
|
512 |
+
"loss": 2.2035,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.2664939391135375,
|
517 |
+
"grad_norm": 1.859375,
|
518 |
+
"learning_rate": 1.8354878114129368e-05,
|
519 |
+
"loss": 2.1937,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.2701952438234478,
|
524 |
+
"grad_norm": 1.8046875,
|
525 |
+
"learning_rate": 1.8283139349323632e-05,
|
526 |
+
"loss": 2.1828,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.273896548533358,
|
531 |
+
"grad_norm": 1.84375,
|
532 |
+
"learning_rate": 1.8210016138212186e-05,
|
533 |
+
"loss": 2.189,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.27759785324326824,
|
538 |
+
"grad_norm": 1.8203125,
|
539 |
+
"learning_rate": 1.8135520702629677e-05,
|
540 |
+
"loss": 2.2025,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.2812991579531785,
|
545 |
+
"grad_norm": 1.859375,
|
546 |
+
"learning_rate": 1.8059665493764745e-05,
|
547 |
+
"loss": 2.1967,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.28500046266308876,
|
552 |
+
"grad_norm": 1.796875,
|
553 |
+
"learning_rate": 1.7982463190078928e-05,
|
554 |
+
"loss": 2.1726,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.28870176737299896,
|
559 |
+
"grad_norm": 1.8203125,
|
560 |
+
"learning_rate": 1.7903926695187595e-05,
|
561 |
+
"loss": 2.1758,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.2924030720829092,
|
566 |
+
"grad_norm": 1.859375,
|
567 |
+
"learning_rate": 1.78240691357032e-05,
|
568 |
+
"loss": 2.186,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2961043767928195,
|
573 |
+
"grad_norm": 1.828125,
|
574 |
+
"learning_rate": 1.7742903859041324e-05,
|
575 |
+
"loss": 2.1866,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.29980568150272974,
|
580 |
+
"grad_norm": 1.828125,
|
581 |
+
"learning_rate": 1.766044443118978e-05,
|
582 |
+
"loss": 2.1996,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.30350698621263994,
|
587 |
+
"grad_norm": 1.7890625,
|
588 |
+
"learning_rate": 1.757670463444118e-05,
|
589 |
+
"loss": 2.1657,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3072082909225502,
|
594 |
+
"grad_norm": 1.8046875,
|
595 |
+
"learning_rate": 1.749169846508936e-05,
|
596 |
+
"loss": 2.1938,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.31090959563246046,
|
601 |
+
"grad_norm": 1.8359375,
|
602 |
+
"learning_rate": 1.740544013109005e-05,
|
603 |
+
"loss": 2.1802,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.31461090034237066,
|
608 |
+
"grad_norm": 1.8359375,
|
609 |
+
"learning_rate": 1.7317944049686125e-05,
|
610 |
+
"loss": 2.1961,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.3183122050522809,
|
615 |
+
"grad_norm": 1.8359375,
|
616 |
+
"learning_rate": 1.722922484499793e-05,
|
617 |
+
"loss": 2.1849,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.3220135097621912,
|
622 |
+
"grad_norm": 1.84375,
|
623 |
+
"learning_rate": 1.7139297345578992e-05,
|
624 |
+
"loss": 2.2075,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.32571481447210143,
|
629 |
+
"grad_norm": 1.8046875,
|
630 |
+
"learning_rate": 1.7048176581937562e-05,
|
631 |
+
"loss": 2.1531,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.32941611918201164,
|
636 |
+
"grad_norm": 1.8359375,
|
637 |
+
"learning_rate": 1.6955877784024418e-05,
|
638 |
+
"loss": 2.1763,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.3331174238919219,
|
643 |
+
"grad_norm": 1.8359375,
|
644 |
+
"learning_rate": 1.686241637868734e-05,
|
645 |
+
"loss": 2.2074,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.33681872860183215,
|
650 |
+
"grad_norm": 1.765625,
|
651 |
+
"learning_rate": 1.676780798709262e-05,
|
652 |
+
"loss": 2.1793,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.3405200333117424,
|
657 |
+
"grad_norm": 1.8203125,
|
658 |
+
"learning_rate": 1.6672068422114195e-05,
|
659 |
+
"loss": 2.1853,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.3442213380216526,
|
664 |
+
"grad_norm": 1.796875,
|
665 |
+
"learning_rate": 1.657521368569064e-05,
|
666 |
+
"loss": 2.1804,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.34792264273156287,
|
671 |
+
"grad_norm": 1.8515625,
|
672 |
+
"learning_rate": 1.647725996615059e-05,
|
673 |
+
"loss": 2.1836,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.35162394744147313,
|
678 |
+
"grad_norm": 1.9921875,
|
679 |
+
"learning_rate": 1.637822363550706e-05,
|
680 |
+
"loss": 2.1714,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3553252521513834,
|
685 |
+
"grad_norm": 1.953125,
|
686 |
+
"learning_rate": 1.627812124672099e-05,
|
687 |
+
"loss": 2.2257,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.3590265568612936,
|
692 |
+
"grad_norm": 1.8515625,
|
693 |
+
"learning_rate": 1.6176969530934573e-05,
|
694 |
+
"loss": 2.1983,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.36272786157120385,
|
699 |
+
"grad_norm": 1.8125,
|
700 |
+
"learning_rate": 1.6074785394674835e-05,
|
701 |
+
"loss": 2.1925,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.3664291662811141,
|
706 |
+
"grad_norm": 1.8125,
|
707 |
+
"learning_rate": 1.5971585917027864e-05,
|
708 |
+
"loss": 2.1606,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.37013047099102436,
|
713 |
+
"grad_norm": 1.8125,
|
714 |
+
"learning_rate": 1.586738834678418e-05,
|
715 |
+
"loss": 2.1738,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.37383177570093457,
|
720 |
+
"grad_norm": 1.8203125,
|
721 |
+
"learning_rate": 1.5762210099555804e-05,
|
722 |
+
"loss": 2.17,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.3775330804108448,
|
727 |
+
"grad_norm": 1.859375,
|
728 |
+
"learning_rate": 1.5656068754865388e-05,
|
729 |
+
"loss": 2.1759,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.3812343851207551,
|
734 |
+
"grad_norm": 1.8359375,
|
735 |
+
"learning_rate": 1.554898205320797e-05,
|
736 |
+
"loss": 2.2016,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.3849356898306653,
|
741 |
+
"grad_norm": 1.796875,
|
742 |
+
"learning_rate": 1.5440967893085827e-05,
|
743 |
+
"loss": 2.1711,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.38863699454057554,
|
748 |
+
"grad_norm": 1.84375,
|
749 |
+
"learning_rate": 1.5332044328016916e-05,
|
750 |
+
"loss": 2.1809,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.3923382992504858,
|
755 |
+
"grad_norm": 1.796875,
|
756 |
+
"learning_rate": 1.5222229563517385e-05,
|
757 |
+
"loss": 2.2018,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.39603960396039606,
|
762 |
+
"grad_norm": 1.765625,
|
763 |
+
"learning_rate": 1.5111541954058733e-05,
|
764 |
+
"loss": 2.1762,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.39974090867030626,
|
769 |
+
"grad_norm": 1.7578125,
|
770 |
+
"learning_rate": 1.5000000000000002e-05,
|
771 |
+
"loss": 2.1955,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4034422133802165,
|
776 |
+
"grad_norm": 1.7890625,
|
777 |
+
"learning_rate": 1.4887622344495643e-05,
|
778 |
+
"loss": 2.1855,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4071435180901268,
|
783 |
+
"grad_norm": 1.8203125,
|
784 |
+
"learning_rate": 1.4774427770379492e-05,
|
785 |
+
"loss": 2.174,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.41084482280003704,
|
790 |
+
"grad_norm": 1.8125,
|
791 |
+
"learning_rate": 1.4660435197025391e-05,
|
792 |
+
"loss": 2.1727,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.41454612750994724,
|
797 |
+
"grad_norm": 1.828125,
|
798 |
+
"learning_rate": 1.4545663677185007e-05,
|
799 |
+
"loss": 2.1715,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4182474322198575,
|
804 |
+
"grad_norm": 1.8203125,
|
805 |
+
"learning_rate": 1.4430132393803353e-05,
|
806 |
+
"loss": 2.1893,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.42194873692976775,
|
811 |
+
"grad_norm": 1.8046875,
|
812 |
+
"learning_rate": 1.4313860656812537e-05,
|
813 |
+
"loss": 2.1734,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.425650041639678,
|
818 |
+
"grad_norm": 1.8046875,
|
819 |
+
"learning_rate": 1.4196867899904292e-05,
|
820 |
+
"loss": 2.1759,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.4293513463495882,
|
825 |
+
"grad_norm": 1.78125,
|
826 |
+
"learning_rate": 1.4079173677281836e-05,
|
827 |
+
"loss": 2.1615,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.4330526510594985,
|
832 |
+
"grad_norm": 1.796875,
|
833 |
+
"learning_rate": 1.396079766039157e-05,
|
834 |
+
"loss": 2.1769,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.43675395576940873,
|
839 |
+
"grad_norm": 1.8125,
|
840 |
+
"learning_rate": 1.3841759634635177e-05,
|
841 |
+
"loss": 2.1867,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.44045526047931893,
|
846 |
+
"grad_norm": 1.8046875,
|
847 |
+
"learning_rate": 1.3722079496062702e-05,
|
848 |
+
"loss": 2.1836,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.4441565651892292,
|
853 |
+
"grad_norm": 1.765625,
|
854 |
+
"learning_rate": 1.3601777248047105e-05,
|
855 |
+
"loss": 2.1803,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.44785786989913945,
|
860 |
+
"grad_norm": 1.828125,
|
861 |
+
"learning_rate": 1.3480872997940906e-05,
|
862 |
+
"loss": 2.1667,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.4515591746090497,
|
867 |
+
"grad_norm": 1.8203125,
|
868 |
+
"learning_rate": 1.3359386953715423e-05,
|
869 |
+
"loss": 2.1644,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.4552604793189599,
|
874 |
+
"grad_norm": 1.8125,
|
875 |
+
"learning_rate": 1.3237339420583213e-05,
|
876 |
+
"loss": 2.1769,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.45896178402887017,
|
881 |
+
"grad_norm": 1.78125,
|
882 |
+
"learning_rate": 1.3114750797604248e-05,
|
883 |
+
"loss": 2.1611,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.4626630887387804,
|
888 |
+
"grad_norm": 1.796875,
|
889 |
+
"learning_rate": 1.2991641574276419e-05,
|
890 |
+
"loss": 2.1676,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.4663643934486907,
|
895 |
+
"grad_norm": 1.8671875,
|
896 |
+
"learning_rate": 1.2868032327110904e-05,
|
897 |
+
"loss": 2.2038,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.4700656981586009,
|
902 |
+
"grad_norm": 1.8203125,
|
903 |
+
"learning_rate": 1.2743943716193017e-05,
|
904 |
+
"loss": 2.2025,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.47376700286851114,
|
909 |
+
"grad_norm": 1.7890625,
|
910 |
+
"learning_rate": 1.261939648172906e-05,
|
911 |
+
"loss": 2.1784,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.4774683075784214,
|
916 |
+
"grad_norm": 1.796875,
|
917 |
+
"learning_rate": 1.2494411440579814e-05,
|
918 |
+
"loss": 2.1805,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.48116961228833166,
|
923 |
+
"grad_norm": 1.796875,
|
924 |
+
"learning_rate": 1.2369009482781191e-05,
|
925 |
+
"loss": 2.1945,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.48487091699824186,
|
930 |
+
"grad_norm": 1.8359375,
|
931 |
+
"learning_rate": 1.2243211568052678e-05,
|
932 |
+
"loss": 2.1775,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.4885722217081521,
|
937 |
+
"grad_norm": 1.796875,
|
938 |
+
"learning_rate": 1.211703872229411e-05,
|
939 |
+
"loss": 2.1832,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.4922735264180624,
|
944 |
+
"grad_norm": 1.84375,
|
945 |
+
"learning_rate": 1.1990512034071407e-05,
|
946 |
+
"loss": 2.1899,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.49597483112797264,
|
951 |
+
"grad_norm": 1.8203125,
|
952 |
+
"learning_rate": 1.1863652651091824e-05,
|
953 |
+
"loss": 2.1675,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.49967613583788284,
|
958 |
+
"grad_norm": 1.7734375,
|
959 |
+
"learning_rate": 1.1736481776669307e-05,
|
960 |
+
"loss": 2.1881,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5033774405477931,
|
965 |
+
"grad_norm": 1.7890625,
|
966 |
+
"learning_rate": 1.1609020666180574e-05,
|
967 |
+
"loss": 2.1825,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5070787452577034,
|
972 |
+
"grad_norm": 1.78125,
|
973 |
+
"learning_rate": 1.1481290623512491e-05,
|
974 |
+
"loss": 2.1875,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5107800499676136,
|
979 |
+
"grad_norm": 1.828125,
|
980 |
+
"learning_rate": 1.1353312997501313e-05,
|
981 |
+
"loss": 2.1693,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5144813546775239,
|
986 |
+
"grad_norm": 1.78125,
|
987 |
+
"learning_rate": 1.1225109178364456e-05,
|
988 |
+
"loss": 2.169,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.518182659387434,
|
993 |
+
"grad_norm": 1.765625,
|
994 |
+
"learning_rate": 1.1096700594125318e-05,
|
995 |
+
"loss": 2.1714,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.5218839640973443,
|
1000 |
+
"grad_norm": 1.8203125,
|
1001 |
+
"learning_rate": 1.0968108707031792e-05,
|
1002 |
+
"loss": 2.179,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5255852688072545,
|
1007 |
+
"grad_norm": 1.765625,
|
1008 |
+
"learning_rate": 1.0839355009969068e-05,
|
1009 |
+
"loss": 2.153,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.5292865735171648,
|
1014 |
+
"grad_norm": 1.796875,
|
1015 |
+
"learning_rate": 1.0710461022867303e-05,
|
1016 |
+
"loss": 2.1683,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.532987878227075,
|
1021 |
+
"grad_norm": 1.7578125,
|
1022 |
+
"learning_rate": 1.0581448289104759e-05,
|
1023 |
+
"loss": 2.1459,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.5366891829369853,
|
1028 |
+
"grad_norm": 1.8515625,
|
1029 |
+
"learning_rate": 1.0452338371907065e-05,
|
1030 |
+
"loss": 2.1666,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.5403904876468956,
|
1035 |
+
"grad_norm": 1.765625,
|
1036 |
+
"learning_rate": 1.0323152850743107e-05,
|
1037 |
+
"loss": 2.173,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.5440917923568058,
|
1042 |
+
"grad_norm": 1.8046875,
|
1043 |
+
"learning_rate": 1.0193913317718245e-05,
|
1044 |
+
"loss": 2.1745,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.547793097066716,
|
1049 |
+
"grad_norm": 1.7734375,
|
1050 |
+
"learning_rate": 1.0064641373965394e-05,
|
1051 |
+
"loss": 2.1602,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.5514944017766262,
|
1056 |
+
"grad_norm": 1.7578125,
|
1057 |
+
"learning_rate": 9.935358626034607e-06,
|
1058 |
+
"loss": 2.1608,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.5551957064865365,
|
1063 |
+
"grad_norm": 1.796875,
|
1064 |
+
"learning_rate": 9.806086682281759e-06,
|
1065 |
+
"loss": 2.1906,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.5588970111964467,
|
1070 |
+
"grad_norm": 1.7734375,
|
1071 |
+
"learning_rate": 9.676847149256894e-06,
|
1072 |
+
"loss": 2.1502,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.562598315906357,
|
1077 |
+
"grad_norm": 1.765625,
|
1078 |
+
"learning_rate": 9.547661628092938e-06,
|
1079 |
+
"loss": 2.1648,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.5662996206162673,
|
1084 |
+
"grad_norm": 1.8515625,
|
1085 |
+
"learning_rate": 9.418551710895243e-06,
|
1086 |
+
"loss": 2.1866,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.5700009253261775,
|
1091 |
+
"grad_norm": 1.7734375,
|
1092 |
+
"learning_rate": 9.289538977132702e-06,
|
1093 |
+
"loss": 2.1776,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.5737022300360877,
|
1098 |
+
"grad_norm": 1.7734375,
|
1099 |
+
"learning_rate": 9.160644990030932e-06,
|
1100 |
+
"loss": 2.1665,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.5774035347459979,
|
1105 |
+
"grad_norm": 1.7734375,
|
1106 |
+
"learning_rate": 9.03189129296821e-06,
|
1107 |
+
"loss": 2.1891,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.5811048394559082,
|
1112 |
+
"grad_norm": 1.8203125,
|
1113 |
+
"learning_rate": 8.903299405874685e-06,
|
1114 |
+
"loss": 2.1894,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.5848061441658184,
|
1119 |
+
"grad_norm": 1.7734375,
|
1120 |
+
"learning_rate": 8.774890821635548e-06,
|
1121 |
+
"loss": 2.167,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.5885074488757287,
|
1126 |
+
"grad_norm": 1.8359375,
|
1127 |
+
"learning_rate": 8.646687002498692e-06,
|
1128 |
+
"loss": 2.1759,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.592208753585639,
|
1133 |
+
"grad_norm": 1.8046875,
|
1134 |
+
"learning_rate": 8.518709376487515e-06,
|
1135 |
+
"loss": 2.155,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.5959100582955492,
|
1140 |
+
"grad_norm": 1.796875,
|
1141 |
+
"learning_rate": 8.390979333819427e-06,
|
1142 |
+
"loss": 2.1734,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.5996113630054595,
|
1147 |
+
"grad_norm": 1.7890625,
|
1148 |
+
"learning_rate": 8.263518223330698e-06,
|
1149 |
+
"loss": 2.1619,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.6033126677153696,
|
1154 |
+
"grad_norm": 1.8125,
|
1155 |
+
"learning_rate": 8.13634734890818e-06,
|
1156 |
+
"loss": 2.1509,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.6070139724252799,
|
1161 |
+
"grad_norm": 1.796875,
|
1162 |
+
"learning_rate": 8.009487965928597e-06,
|
1163 |
+
"loss": 2.1662,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6107152771351901,
|
1168 |
+
"grad_norm": 1.796875,
|
1169 |
+
"learning_rate": 7.882961277705897e-06,
|
1170 |
+
"loss": 2.1315,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6144165818451004,
|
1175 |
+
"grad_norm": 1.8046875,
|
1176 |
+
"learning_rate": 7.756788431947327e-06,
|
1177 |
+
"loss": 2.1737,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6181178865550107,
|
1182 |
+
"grad_norm": 1.8359375,
|
1183 |
+
"learning_rate": 7.630990517218809e-06,
|
1184 |
+
"loss": 2.1673,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.6218191912649209,
|
1189 |
+
"grad_norm": 1.859375,
|
1190 |
+
"learning_rate": 7.505588559420188e-06,
|
1191 |
+
"loss": 2.156,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.6255204959748312,
|
1196 |
+
"grad_norm": 1.796875,
|
1197 |
+
"learning_rate": 7.380603518270942e-06,
|
1198 |
+
"loss": 2.1576,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.6292218006847413,
|
1203 |
+
"grad_norm": 1.7890625,
|
1204 |
+
"learning_rate": 7.256056283806987e-06,
|
1205 |
+
"loss": 2.1715,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.6329231053946516,
|
1210 |
+
"grad_norm": 1.78125,
|
1211 |
+
"learning_rate": 7.131967672889101e-06,
|
1212 |
+
"loss": 2.1872,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.6366244101045618,
|
1217 |
+
"grad_norm": 1.828125,
|
1218 |
+
"learning_rate": 7.008358425723586e-06,
|
1219 |
+
"loss": 2.1596,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.6403257148144721,
|
1224 |
+
"grad_norm": 1.765625,
|
1225 |
+
"learning_rate": 6.885249202395754e-06,
|
1226 |
+
"loss": 2.1546,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.6440270195243823,
|
1231 |
+
"grad_norm": 1.796875,
|
1232 |
+
"learning_rate": 6.762660579416791e-06,
|
1233 |
+
"loss": 2.1499,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.6477283242342926,
|
1238 |
+
"grad_norm": 1.8203125,
|
1239 |
+
"learning_rate": 6.640613046284581e-06,
|
1240 |
+
"loss": 2.1816,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.6514296289442029,
|
1245 |
+
"grad_norm": 1.8359375,
|
1246 |
+
"learning_rate": 6.519127002059096e-06,
|
1247 |
+
"loss": 2.1675,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.6551309336541131,
|
1252 |
+
"grad_norm": 1.796875,
|
1253 |
+
"learning_rate": 6.3982227519528986e-06,
|
1254 |
+
"loss": 2.1819,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.6588322383640233,
|
1259 |
+
"grad_norm": 1.8359375,
|
1260 |
+
"learning_rate": 6.277920503937303e-06,
|
1261 |
+
"loss": 2.1628,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.6625335430739335,
|
1266 |
+
"grad_norm": 1.8046875,
|
1267 |
+
"learning_rate": 6.158240365364823e-06,
|
1268 |
+
"loss": 2.1595,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.6662348477838438,
|
1273 |
+
"grad_norm": 1.7890625,
|
1274 |
+
"learning_rate": 6.039202339608432e-06,
|
1275 |
+
"loss": 2.1604,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.669936152493754,
|
1280 |
+
"grad_norm": 1.7890625,
|
1281 |
+
"learning_rate": 5.920826322718165e-06,
|
1282 |
+
"loss": 2.1498,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.6736374572036643,
|
1287 |
+
"grad_norm": 1.8125,
|
1288 |
+
"learning_rate": 5.80313210009571e-06,
|
1289 |
+
"loss": 2.1612,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.6773387619135746,
|
1294 |
+
"grad_norm": 1.7890625,
|
1295 |
+
"learning_rate": 5.686139343187468e-06,
|
1296 |
+
"loss": 2.1668,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.6810400666234848,
|
1301 |
+
"grad_norm": 1.75,
|
1302 |
+
"learning_rate": 5.569867606196652e-06,
|
1303 |
+
"loss": 2.1952,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.6847413713333951,
|
1308 |
+
"grad_norm": 1.7578125,
|
1309 |
+
"learning_rate": 5.454336322814995e-06,
|
1310 |
+
"loss": 2.1699,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.6884426760433052,
|
1315 |
+
"grad_norm": 1.7578125,
|
1316 |
+
"learning_rate": 5.339564802974615e-06,
|
1317 |
+
"loss": 2.176,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.6921439807532155,
|
1322 |
+
"grad_norm": 1.8515625,
|
1323 |
+
"learning_rate": 5.2255722296205104e-06,
|
1324 |
+
"loss": 2.1927,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.6958452854631257,
|
1329 |
+
"grad_norm": 1.796875,
|
1330 |
+
"learning_rate": 5.112377655504359e-06,
|
1331 |
+
"loss": 2.1742,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.699546590173036,
|
1336 |
+
"grad_norm": 1.78125,
|
1337 |
+
"learning_rate": 5.000000000000003e-06,
|
1338 |
+
"loss": 2.1835,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.7032478948829463,
|
1343 |
+
"grad_norm": 1.84375,
|
1344 |
+
"learning_rate": 4.888458045941269e-06,
|
1345 |
+
"loss": 2.1855,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.7069491995928565,
|
1350 |
+
"grad_norm": 1.8125,
|
1351 |
+
"learning_rate": 4.7777704364826175e-06,
|
1352 |
+
"loss": 2.1922,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.7106505043027668,
|
1357 |
+
"grad_norm": 1.8046875,
|
1358 |
+
"learning_rate": 4.66795567198309e-06,
|
1359 |
+
"loss": 2.1563,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.7143518090126769,
|
1364 |
+
"grad_norm": 1.78125,
|
1365 |
+
"learning_rate": 4.559032106914173e-06,
|
1366 |
+
"loss": 2.1522,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.7180531137225872,
|
1371 |
+
"grad_norm": 1.8203125,
|
1372 |
+
"learning_rate": 4.4510179467920325e-06,
|
1373 |
+
"loss": 2.175,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7217544184324974,
|
1378 |
+
"grad_norm": 1.765625,
|
1379 |
+
"learning_rate": 4.343931245134616e-06,
|
1380 |
+
"loss": 2.1506,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.7254557231424077,
|
1385 |
+
"grad_norm": 1.8046875,
|
1386 |
+
"learning_rate": 4.237789900444197e-06,
|
1387 |
+
"loss": 2.1555,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.729157027852318,
|
1392 |
+
"grad_norm": 1.78125,
|
1393 |
+
"learning_rate": 4.132611653215822e-06,
|
1394 |
+
"loss": 2.1142,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.7328583325622282,
|
1399 |
+
"grad_norm": 1.7890625,
|
1400 |
+
"learning_rate": 4.028414082972141e-06,
|
1401 |
+
"loss": 2.1617,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.7365596372721385,
|
1406 |
+
"grad_norm": 1.8046875,
|
1407 |
+
"learning_rate": 3.925214605325164e-06,
|
1408 |
+
"loss": 2.1854,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.7402609419820487,
|
1413 |
+
"grad_norm": 1.7734375,
|
1414 |
+
"learning_rate": 3.823030469065431e-06,
|
1415 |
+
"loss": 2.1767,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.7439622466919589,
|
1420 |
+
"grad_norm": 1.8125,
|
1421 |
+
"learning_rate": 3.7218787532790167e-06,
|
1422 |
+
"loss": 2.1667,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.7476635514018691,
|
1427 |
+
"grad_norm": 1.8046875,
|
1428 |
+
"learning_rate": 3.6217763644929393e-06,
|
1429 |
+
"loss": 2.1532,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.7513648561117794,
|
1434 |
+
"grad_norm": 1.8203125,
|
1435 |
+
"learning_rate": 3.522740033849411e-06,
|
1436 |
+
"loss": 2.1617,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.7550661608216896,
|
1441 |
+
"grad_norm": 1.8828125,
|
1442 |
+
"learning_rate": 3.424786314309365e-06,
|
1443 |
+
"loss": 2.1549,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.7587674655315999,
|
1448 |
+
"grad_norm": 1.7265625,
|
1449 |
+
"learning_rate": 3.3279315778858034e-06,
|
1450 |
+
"loss": 2.1501,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.7624687702415102,
|
1455 |
+
"grad_norm": 1.7734375,
|
1456 |
+
"learning_rate": 3.2321920129073815e-06,
|
1457 |
+
"loss": 2.164,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.7661700749514204,
|
1462 |
+
"grad_norm": 1.765625,
|
1463 |
+
"learning_rate": 3.1375836213126653e-06,
|
1464 |
+
"loss": 2.1473,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.7698713796613306,
|
1469 |
+
"grad_norm": 1.7890625,
|
1470 |
+
"learning_rate": 3.04412221597558e-06,
|
1471 |
+
"loss": 2.1597,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.7735726843712408,
|
1476 |
+
"grad_norm": 1.8359375,
|
1477 |
+
"learning_rate": 2.9518234180624393e-06,
|
1478 |
+
"loss": 2.165,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.7772739890811511,
|
1483 |
+
"grad_norm": 1.7890625,
|
1484 |
+
"learning_rate": 2.8607026544210115e-06,
|
1485 |
+
"loss": 2.1634,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.7809752937910613,
|
1490 |
+
"grad_norm": 1.7421875,
|
1491 |
+
"learning_rate": 2.770775155002071e-06,
|
1492 |
+
"loss": 2.1559,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.7846765985009716,
|
1497 |
+
"grad_norm": 1.7734375,
|
1498 |
+
"learning_rate": 2.6820559503138797e-06,
|
1499 |
+
"loss": 2.1638,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.7883779032108819,
|
1504 |
+
"grad_norm": 1.796875,
|
1505 |
+
"learning_rate": 2.594559868909956e-06,
|
1506 |
+
"loss": 2.1604,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.7920792079207921,
|
1511 |
+
"grad_norm": 1.7578125,
|
1512 |
+
"learning_rate": 2.50830153491064e-06,
|
1513 |
+
"loss": 2.1602,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.7957805126307024,
|
1518 |
+
"grad_norm": 1.765625,
|
1519 |
+
"learning_rate": 2.423295365558821e-06,
|
1520 |
+
"loss": 2.1588,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.7994818173406125,
|
1525 |
+
"grad_norm": 1.8125,
|
1526 |
+
"learning_rate": 2.339555568810221e-06,
|
1527 |
+
"loss": 2.1525,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.8031831220505228,
|
1532 |
+
"grad_norm": 1.7578125,
|
1533 |
+
"learning_rate": 2.2570961409586756e-06,
|
1534 |
+
"loss": 2.1622,
|
1535 |
+
"step": 1085
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.806884426760433,
|
1539 |
+
"grad_norm": 1.7890625,
|
1540 |
+
"learning_rate": 2.1759308642968024e-06,
|
1541 |
+
"loss": 2.1544,
|
1542 |
+
"step": 1090
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.8105857314703433,
|
1546 |
+
"grad_norm": 1.8046875,
|
1547 |
+
"learning_rate": 2.0960733048124082e-06,
|
1548 |
+
"loss": 2.158,
|
1549 |
+
"step": 1095
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.8142870361802536,
|
1553 |
+
"grad_norm": 1.828125,
|
1554 |
+
"learning_rate": 2.01753680992107e-06,
|
1555 |
+
"loss": 2.1827,
|
1556 |
+
"step": 1100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.8179883408901638,
|
1560 |
+
"grad_norm": 1.7890625,
|
1561 |
+
"learning_rate": 1.9403345062352574e-06,
|
1562 |
+
"loss": 2.1579,
|
1563 |
+
"step": 1105
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.8216896456000741,
|
1567 |
+
"grad_norm": 1.7890625,
|
1568 |
+
"learning_rate": 1.8644792973703252e-06,
|
1569 |
+
"loss": 2.1601,
|
1570 |
+
"step": 1110
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.8253909503099842,
|
1574 |
+
"grad_norm": 1.8515625,
|
1575 |
+
"learning_rate": 1.7899838617878163e-06,
|
1576 |
+
"loss": 2.168,
|
1577 |
+
"step": 1115
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.8290922550198945,
|
1581 |
+
"grad_norm": 1.8359375,
|
1582 |
+
"learning_rate": 1.7168606506763696e-06,
|
1583 |
+
"loss": 2.1706,
|
1584 |
+
"step": 1120
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.8327935597298047,
|
1588 |
+
"grad_norm": 1.796875,
|
1589 |
+
"learning_rate": 1.6451218858706374e-06,
|
1590 |
+
"loss": 2.175,
|
1591 |
+
"step": 1125
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.836494864439715,
|
1595 |
+
"grad_norm": 1.765625,
|
1596 |
+
"learning_rate": 1.5747795578085046e-06,
|
1597 |
+
"loss": 2.1803,
|
1598 |
+
"step": 1130
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.8401961691496252,
|
1602 |
+
"grad_norm": 1.7578125,
|
1603 |
+
"learning_rate": 1.505845423527027e-06,
|
1604 |
+
"loss": 2.1543,
|
1605 |
+
"step": 1135
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.8438974738595355,
|
1609 |
+
"grad_norm": 1.7890625,
|
1610 |
+
"learning_rate": 1.4383310046973365e-06,
|
1611 |
+
"loss": 2.1556,
|
1612 |
+
"step": 1140
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.8475987785694458,
|
1616 |
+
"grad_norm": 1.828125,
|
1617 |
+
"learning_rate": 1.372247585698916e-06,
|
1618 |
+
"loss": 2.1772,
|
1619 |
+
"step": 1145
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.851300083279356,
|
1623 |
+
"grad_norm": 1.7734375,
|
1624 |
+
"learning_rate": 1.307606211733522e-06,
|
1625 |
+
"loss": 2.1542,
|
1626 |
+
"step": 1150
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.8550013879892662,
|
1630 |
+
"grad_norm": 1.8125,
|
1631 |
+
"learning_rate": 1.2444176869790925e-06,
|
1632 |
+
"loss": 2.1635,
|
1633 |
+
"step": 1155
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.8587026926991764,
|
1637 |
+
"grad_norm": 1.8046875,
|
1638 |
+
"learning_rate": 1.18269257278392e-06,
|
1639 |
+
"loss": 2.144,
|
1640 |
+
"step": 1160
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.8624039974090867,
|
1644 |
+
"grad_norm": 1.765625,
|
1645 |
+
"learning_rate": 1.1224411859014417e-06,
|
1646 |
+
"loss": 2.153,
|
1647 |
+
"step": 1165
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.866105302118997,
|
1651 |
+
"grad_norm": 1.84375,
|
1652 |
+
"learning_rate": 1.0636735967658785e-06,
|
1653 |
+
"loss": 2.1537,
|
1654 |
+
"step": 1170
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.8698066068289072,
|
1658 |
+
"grad_norm": 1.7890625,
|
1659 |
+
"learning_rate": 1.0063996278090704e-06,
|
1660 |
+
"loss": 2.1913,
|
1661 |
+
"step": 1175
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.8735079115388175,
|
1665 |
+
"grad_norm": 1.8203125,
|
1666 |
+
"learning_rate": 9.506288518187468e-07,
|
1667 |
+
"loss": 2.1783,
|
1668 |
+
"step": 1180
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.8772092162487277,
|
1672 |
+
"grad_norm": 1.75,
|
1673 |
+
"learning_rate": 8.963705903385344e-07,
|
1674 |
+
"loss": 2.1502,
|
1675 |
+
"step": 1185
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.8809105209586379,
|
1679 |
+
"grad_norm": 1.7890625,
|
1680 |
+
"learning_rate": 8.436339121099413e-07,
|
1681 |
+
"loss": 2.1642,
|
1682 |
+
"step": 1190
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.8846118256685481,
|
1686 |
+
"grad_norm": 1.7734375,
|
1687 |
+
"learning_rate": 7.924276315566171e-07,
|
1688 |
+
"loss": 2.1625,
|
1689 |
+
"step": 1195
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.8883131303784584,
|
1693 |
+
"grad_norm": 1.8046875,
|
1694 |
+
"learning_rate": 7.427603073110967e-07,
|
1695 |
+
"loss": 2.1741,
|
1696 |
+
"step": 1200
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.8920144350883686,
|
1700 |
+
"grad_norm": 1.796875,
|
1701 |
+
"learning_rate": 6.946402407843156e-07,
|
1702 |
+
"loss": 2.1467,
|
1703 |
+
"step": 1205
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.8957157397982789,
|
1707 |
+
"grad_norm": 1.7578125,
|
1708 |
+
"learning_rate": 6.480754747781037e-07,
|
1709 |
+
"loss": 2.1597,
|
1710 |
+
"step": 1210
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.8994170445081892,
|
1714 |
+
"grad_norm": 1.8046875,
|
1715 |
+
"learning_rate": 6.030737921409169e-07,
|
1716 |
+
"loss": 2.1653,
|
1717 |
+
"step": 1215
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.9031183492180994,
|
1721 |
+
"grad_norm": 1.796875,
|
1722 |
+
"learning_rate": 5.596427144670002e-07,
|
1723 |
+
"loss": 2.173,
|
1724 |
+
"step": 1220
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.9068196539280097,
|
1728 |
+
"grad_norm": 1.8125,
|
1729 |
+
"learning_rate": 5.177895008392353e-07,
|
1730 |
+
"loss": 2.1844,
|
1731 |
+
"step": 1225
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.9105209586379198,
|
1735 |
+
"grad_norm": 1.7109375,
|
1736 |
+
"learning_rate": 4.775211466158469e-07,
|
1737 |
+
"loss": 2.1385,
|
1738 |
+
"step": 1230
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.9142222633478301,
|
1742 |
+
"grad_norm": 1.7734375,
|
1743 |
+
"learning_rate": 4.388443822612043e-07,
|
1744 |
+
"loss": 2.1521,
|
1745 |
+
"step": 1235
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.9179235680577403,
|
1749 |
+
"grad_norm": 1.7890625,
|
1750 |
+
"learning_rate": 4.017656722208807e-07,
|
1751 |
+
"loss": 2.1692,
|
1752 |
+
"step": 1240
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.9216248727676506,
|
1756 |
+
"grad_norm": 1.7421875,
|
1757 |
+
"learning_rate": 3.662912138411967e-07,
|
1758 |
+
"loss": 2.1767,
|
1759 |
+
"step": 1245
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.9253261774775609,
|
1763 |
+
"grad_norm": 1.796875,
|
1764 |
+
"learning_rate": 3.3242693633337986e-07,
|
1765 |
+
"loss": 2.1517,
|
1766 |
+
"step": 1250
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.9290274821874711,
|
1770 |
+
"grad_norm": 1.796875,
|
1771 |
+
"learning_rate": 3.001784997825652e-07,
|
1772 |
+
"loss": 2.1849,
|
1773 |
+
"step": 1255
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.9327287868973814,
|
1777 |
+
"grad_norm": 1.796875,
|
1778 |
+
"learning_rate": 2.6955129420176193e-07,
|
1779 |
+
"loss": 2.1564,
|
1780 |
+
"step": 1260
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.9364300916072915,
|
1784 |
+
"grad_norm": 1.8125,
|
1785 |
+
"learning_rate": 2.405504386309643e-07,
|
1786 |
+
"loss": 2.1831,
|
1787 |
+
"step": 1265
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.9401313963172018,
|
1791 |
+
"grad_norm": 1.7734375,
|
1792 |
+
"learning_rate": 2.1318078028155886e-07,
|
1793 |
+
"loss": 2.1436,
|
1794 |
+
"step": 1270
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.943832701027112,
|
1798 |
+
"grad_norm": 1.796875,
|
1799 |
+
"learning_rate": 1.874468937261531e-07,
|
1800 |
+
"loss": 2.159,
|
1801 |
+
"step": 1275
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.9475340057370223,
|
1805 |
+
"grad_norm": 1.78125,
|
1806 |
+
"learning_rate": 1.6335308013398888e-07,
|
1807 |
+
"loss": 2.1677,
|
1808 |
+
"step": 1280
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.9512353104469325,
|
1812 |
+
"grad_norm": 1.7890625,
|
1813 |
+
"learning_rate": 1.409033665520354e-07,
|
1814 |
+
"loss": 2.1872,
|
1815 |
+
"step": 1285
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.9549366151568428,
|
1819 |
+
"grad_norm": 1.78125,
|
1820 |
+
"learning_rate": 1.201015052319099e-07,
|
1821 |
+
"loss": 2.1408,
|
1822 |
+
"step": 1290
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.9586379198667531,
|
1826 |
+
"grad_norm": 1.75,
|
1827 |
+
"learning_rate": 1.0095097300273026e-07,
|
1828 |
+
"loss": 2.1421,
|
1829 |
+
"step": 1295
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.9623392245766633,
|
1833 |
+
"grad_norm": 1.7890625,
|
1834 |
+
"learning_rate": 8.345497068998897e-08,
|
1835 |
+
"loss": 2.1545,
|
1836 |
+
"step": 1300
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.9660405292865735,
|
1840 |
+
"grad_norm": 1.7734375,
|
1841 |
+
"learning_rate": 6.761642258056977e-08,
|
1842 |
+
"loss": 2.1459,
|
1843 |
+
"step": 1305
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.9697418339964837,
|
1847 |
+
"grad_norm": 1.7421875,
|
1848 |
+
"learning_rate": 5.3437975933985366e-08,
|
1849 |
+
"loss": 2.1508,
|
1850 |
+
"step": 1310
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.973443138706394,
|
1854 |
+
"grad_norm": 1.78125,
|
1855 |
+
"learning_rate": 4.0922000539906914e-08,
|
1856 |
+
"loss": 2.1533,
|
1857 |
+
"step": 1315
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.9771444434163042,
|
1861 |
+
"grad_norm": 1.78125,
|
1862 |
+
"learning_rate": 3.0070588322079765e-08,
|
1863 |
+
"loss": 2.1527,
|
1864 |
+
"step": 1320
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.9808457481262145,
|
1868 |
+
"grad_norm": 1.921875,
|
1869 |
+
"learning_rate": 2.088555298867978e-08,
|
1870 |
+
"loss": 2.1634,
|
1871 |
+
"step": 1325
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.9845470528361248,
|
1875 |
+
"grad_norm": 1.75,
|
1876 |
+
"learning_rate": 1.3368429729168075e-08,
|
1877 |
+
"loss": 2.1714,
|
1878 |
+
"step": 1330
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.988248357546035,
|
1882 |
+
"grad_norm": 1.75,
|
1883 |
+
"learning_rate": 7.520474957699586e-09,
|
1884 |
+
"loss": 2.1449,
|
1885 |
+
"step": 1335
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.9919496622559453,
|
1889 |
+
"grad_norm": 1.7578125,
|
1890 |
+
"learning_rate": 3.3426661031255024e-09,
|
1891 |
+
"loss": 2.1756,
|
1892 |
+
"step": 1340
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.9956509669658554,
|
1896 |
+
"grad_norm": 1.765625,
|
1897 |
+
"learning_rate": 8.357014456272794e-10,
|
1898 |
+
"loss": 2.1534,
|
1899 |
+
"step": 1345
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.9993522716757657,
|
1903 |
+
"grad_norm": 1.796875,
|
1904 |
+
"learning_rate": 0.0,
|
1905 |
+
"loss": 2.1688,
|
1906 |
+
"step": 1350
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.9993522716757657,
|
1910 |
+
"eval_loss": 2.16412353515625,
|
1911 |
+
"eval_runtime": 221.9604,
|
1912 |
+
"eval_samples_per_second": 5.379,
|
1913 |
+
"eval_steps_per_second": 2.69,
|
1914 |
+
"step": 1350
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 0.9993522716757657,
|
1918 |
+
"step": 1350,
|
1919 |
+
"total_flos": 5.373491620442276e+17,
|
1920 |
+
"train_loss": 2.19371005181913,
|
1921 |
+
"train_runtime": 17533.5186,
|
1922 |
+
"train_samples_per_second": 1.233,
|
1923 |
+
"train_steps_per_second": 0.077
|
1924 |
+
}
|
1925 |
+
],
|
1926 |
+
"logging_steps": 5,
|
1927 |
+
"max_steps": 1350,
|
1928 |
+
"num_input_tokens_seen": 0,
|
1929 |
+
"num_train_epochs": 1,
|
1930 |
+
"save_steps": 100,
|
1931 |
+
"stateful_callbacks": {
|
1932 |
+
"TrainerControl": {
|
1933 |
+
"args": {
|
1934 |
+
"should_epoch_stop": false,
|
1935 |
+
"should_evaluate": false,
|
1936 |
+
"should_log": false,
|
1937 |
+
"should_save": true,
|
1938 |
+
"should_training_stop": true
|
1939 |
+
},
|
1940 |
+
"attributes": {}
|
1941 |
+
}
|
1942 |
+
},
|
1943 |
+
"total_flos": 5.373491620442276e+17,
|
1944 |
+
"train_batch_size": 1,
|
1945 |
+
"trial_name": null,
|
1946 |
+
"trial_params": null
|
1947 |
+
}
|