Model save
Browse files- README.md +67 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- runs/Aug28_16-19-04_COE-CS-sv003/events.out.tfevents.1724862340.COE-CS-sv003.3136474.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1744 -0
README.md
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: preference_p0.1_seed42_level3_syntax
|
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 |
+
# preference_p0.1_seed42_level3_syntax
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.3398
|
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: 1e-05
|
42 |
+
- train_batch_size: 2
|
43 |
+
- eval_batch_size: 1
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- num_devices: 4
|
47 |
+
- gradient_accumulation_steps: 4
|
48 |
+
- total_train_batch_size: 32
|
49 |
+
- total_eval_batch_size: 4
|
50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
51 |
+
- lr_scheduler_type: cosine
|
52 |
+
- lr_scheduler_warmup_ratio: 0.1
|
53 |
+
- num_epochs: 1
|
54 |
+
|
55 |
+
### Training results
|
56 |
+
|
57 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
58 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
59 |
+
| 0.3423 | 1.0 | 1206 | 0.3398 |
|
60 |
+
|
61 |
+
|
62 |
+
### Framework versions
|
63 |
+
|
64 |
+
- Transformers 4.43.4
|
65 |
+
- Pytorch 2.3.1+cu121
|
66 |
+
- Datasets 2.19.1
|
67 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 252459519836160.0,
|
4 |
+
"train_loss": 0.5258088858912437,
|
5 |
+
"train_runtime": 27195.6189,
|
6 |
+
"train_samples": 98793,
|
7 |
+
"train_samples_per_second": 1.419,
|
8 |
+
"train_steps_per_second": 0.044
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.43.4"
|
6 |
+
}
|
runs/Aug28_16-19-04_COE-CS-sv003/events.out.tfevents.1724862340.COE-CS-sv003.3136474.0
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 sha256:7963b8e4f74a410533637f000423f35ee94337b1e09c7d2a6dd16b5205c6ceb7
|
3 |
+
size 56819
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 252459519836160.0,
|
4 |
+
"train_loss": 0.5258088858912437,
|
5 |
+
"train_runtime": 27195.6189,
|
6 |
+
"train_samples": 98793,
|
7 |
+
"train_samples_per_second": 1.419,
|
8 |
+
"train_steps_per_second": 0.044
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1744 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1206,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0008291873963515755,
|
13 |
+
"grad_norm": 24.117380589781583,
|
14 |
+
"learning_rate": 8.264462809917357e-08,
|
15 |
+
"loss": 1.4263,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0041459369817578775,
|
20 |
+
"grad_norm": 22.360999037367943,
|
21 |
+
"learning_rate": 4.132231404958678e-07,
|
22 |
+
"loss": 1.4076,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.008291873963515755,
|
27 |
+
"grad_norm": 8.103797569647355,
|
28 |
+
"learning_rate": 8.264462809917356e-07,
|
29 |
+
"loss": 1.3065,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.012437810945273632,
|
34 |
+
"grad_norm": 10.622518895271666,
|
35 |
+
"learning_rate": 1.2396694214876035e-06,
|
36 |
+
"loss": 1.161,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.01658374792703151,
|
41 |
+
"grad_norm": 2.9542061172740928,
|
42 |
+
"learning_rate": 1.6528925619834712e-06,
|
43 |
+
"loss": 0.9983,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.020729684908789386,
|
48 |
+
"grad_norm": 3.0228806635514696,
|
49 |
+
"learning_rate": 2.066115702479339e-06,
|
50 |
+
"loss": 0.9593,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.024875621890547265,
|
55 |
+
"grad_norm": 2.656334692534878,
|
56 |
+
"learning_rate": 2.479338842975207e-06,
|
57 |
+
"loss": 0.9235,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.02902155887230514,
|
62 |
+
"grad_norm": 2.1702370957074213,
|
63 |
+
"learning_rate": 2.8925619834710743e-06,
|
64 |
+
"loss": 0.9044,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03316749585406302,
|
69 |
+
"grad_norm": 2.341195712446691,
|
70 |
+
"learning_rate": 3.3057851239669424e-06,
|
71 |
+
"loss": 0.8998,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03731343283582089,
|
76 |
+
"grad_norm": 2.2826028497769526,
|
77 |
+
"learning_rate": 3.71900826446281e-06,
|
78 |
+
"loss": 0.8781,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.04145936981757877,
|
83 |
+
"grad_norm": 2.395866474689141,
|
84 |
+
"learning_rate": 4.132231404958678e-06,
|
85 |
+
"loss": 0.8757,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04560530679933665,
|
90 |
+
"grad_norm": 2.329664924545399,
|
91 |
+
"learning_rate": 4.5454545454545455e-06,
|
92 |
+
"loss": 0.8535,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04975124378109453,
|
97 |
+
"grad_norm": 2.319973421427611,
|
98 |
+
"learning_rate": 4.958677685950414e-06,
|
99 |
+
"loss": 0.8501,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.0538971807628524,
|
104 |
+
"grad_norm": 2.34618245693918,
|
105 |
+
"learning_rate": 5.371900826446281e-06,
|
106 |
+
"loss": 0.8459,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05804311774461028,
|
111 |
+
"grad_norm": 2.4876099171019286,
|
112 |
+
"learning_rate": 5.785123966942149e-06,
|
113 |
+
"loss": 0.8359,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06218905472636816,
|
118 |
+
"grad_norm": 2.4937280574508316,
|
119 |
+
"learning_rate": 6.198347107438017e-06,
|
120 |
+
"loss": 0.8296,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.06633499170812604,
|
125 |
+
"grad_norm": 2.5000631568636784,
|
126 |
+
"learning_rate": 6.611570247933885e-06,
|
127 |
+
"loss": 0.8298,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07048092868988391,
|
132 |
+
"grad_norm": 2.3026309618556406,
|
133 |
+
"learning_rate": 7.0247933884297525e-06,
|
134 |
+
"loss": 0.8324,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07462686567164178,
|
139 |
+
"grad_norm": 2.441626244973287,
|
140 |
+
"learning_rate": 7.43801652892562e-06,
|
141 |
+
"loss": 0.8237,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07877280265339967,
|
146 |
+
"grad_norm": 2.6334045094131935,
|
147 |
+
"learning_rate": 7.851239669421489e-06,
|
148 |
+
"loss": 0.8173,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.08291873963515754,
|
153 |
+
"grad_norm": 2.8743818026826933,
|
154 |
+
"learning_rate": 8.264462809917356e-06,
|
155 |
+
"loss": 0.8179,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.08706467661691543,
|
160 |
+
"grad_norm": 2.4782540737477805,
|
161 |
+
"learning_rate": 8.677685950413224e-06,
|
162 |
+
"loss": 0.8138,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.0912106135986733,
|
167 |
+
"grad_norm": 2.516716969960893,
|
168 |
+
"learning_rate": 9.090909090909091e-06,
|
169 |
+
"loss": 0.8006,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09535655058043117,
|
174 |
+
"grad_norm": 2.661516962429658,
|
175 |
+
"learning_rate": 9.50413223140496e-06,
|
176 |
+
"loss": 0.8088,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.09950248756218906,
|
181 |
+
"grad_norm": 2.169914953698175,
|
182 |
+
"learning_rate": 9.917355371900828e-06,
|
183 |
+
"loss": 0.795,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.10364842454394693,
|
188 |
+
"grad_norm": 2.6794554187970383,
|
189 |
+
"learning_rate": 9.999664652243188e-06,
|
190 |
+
"loss": 0.7991,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.1077943615257048,
|
195 |
+
"grad_norm": 2.812395361063442,
|
196 |
+
"learning_rate": 9.99830237907608e-06,
|
197 |
+
"loss": 0.7874,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.11194029850746269,
|
202 |
+
"grad_norm": 2.5526772224584495,
|
203 |
+
"learning_rate": 9.995892506564461e-06,
|
204 |
+
"loss": 0.7899,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.11608623548922056,
|
209 |
+
"grad_norm": 2.3409010885917465,
|
210 |
+
"learning_rate": 9.992435539796e-06,
|
211 |
+
"loss": 0.7802,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.12023217247097844,
|
216 |
+
"grad_norm": 2.517749639364559,
|
217 |
+
"learning_rate": 9.987932203319917e-06,
|
218 |
+
"loss": 0.7742,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.12437810945273632,
|
223 |
+
"grad_norm": 2.5710403396477086,
|
224 |
+
"learning_rate": 9.982383440995146e-06,
|
225 |
+
"loss": 0.7634,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.1285240464344942,
|
230 |
+
"grad_norm": 2.423809126521337,
|
231 |
+
"learning_rate": 9.975790415792497e-06,
|
232 |
+
"loss": 0.767,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.13266998341625208,
|
237 |
+
"grad_norm": 2.2531176128656347,
|
238 |
+
"learning_rate": 9.968154509550914e-06,
|
239 |
+
"loss": 0.7651,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.13681592039800994,
|
244 |
+
"grad_norm": 2.2909698896750497,
|
245 |
+
"learning_rate": 9.959477322687852e-06,
|
246 |
+
"loss": 0.7589,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.14096185737976782,
|
251 |
+
"grad_norm": 2.272355603940266,
|
252 |
+
"learning_rate": 9.949760673863846e-06,
|
253 |
+
"loss": 0.7499,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.1451077943615257,
|
258 |
+
"grad_norm": 2.3263130353605814,
|
259 |
+
"learning_rate": 9.93900659960133e-06,
|
260 |
+
"loss": 0.7523,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.14925373134328357,
|
265 |
+
"grad_norm": 2.3867379201836374,
|
266 |
+
"learning_rate": 9.927217353857809e-06,
|
267 |
+
"loss": 0.75,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.15339966832504145,
|
272 |
+
"grad_norm": 2.3095796755747413,
|
273 |
+
"learning_rate": 9.914395407553444e-06,
|
274 |
+
"loss": 0.7287,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.15754560530679934,
|
279 |
+
"grad_norm": 4.162860668791136,
|
280 |
+
"learning_rate": 9.900543448053164e-06,
|
281 |
+
"loss": 0.7347,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.16169154228855723,
|
286 |
+
"grad_norm": 2.4891248095680356,
|
287 |
+
"learning_rate": 9.885664378603432e-06,
|
288 |
+
"loss": 0.7325,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.16583747927031509,
|
293 |
+
"grad_norm": 2.4243428099512183,
|
294 |
+
"learning_rate": 9.869761317723744e-06,
|
295 |
+
"loss": 0.7334,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.16998341625207297,
|
300 |
+
"grad_norm": 2.281996216090256,
|
301 |
+
"learning_rate": 9.85283759855301e-06,
|
302 |
+
"loss": 0.7336,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.17412935323383086,
|
307 |
+
"grad_norm": 2.5493532152498295,
|
308 |
+
"learning_rate": 9.834896768150963e-06,
|
309 |
+
"loss": 0.7208,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.17827529021558872,
|
314 |
+
"grad_norm": 2.3851937555382015,
|
315 |
+
"learning_rate": 9.81594258675473e-06,
|
316 |
+
"loss": 0.7262,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.1824212271973466,
|
321 |
+
"grad_norm": 2.375711001816407,
|
322 |
+
"learning_rate": 9.795979026990717e-06,
|
323 |
+
"loss": 0.7027,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.1865671641791045,
|
328 |
+
"grad_norm": 2.4218230611759064,
|
329 |
+
"learning_rate": 9.775010273041975e-06,
|
330 |
+
"loss": 0.6911,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.19071310116086235,
|
335 |
+
"grad_norm": 2.3750995885676707,
|
336 |
+
"learning_rate": 9.753040719771249e-06,
|
337 |
+
"loss": 0.7037,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.19485903814262023,
|
342 |
+
"grad_norm": 2.4845749432051534,
|
343 |
+
"learning_rate": 9.730074971799837e-06,
|
344 |
+
"loss": 0.7067,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.19900497512437812,
|
349 |
+
"grad_norm": 2.352728065720678,
|
350 |
+
"learning_rate": 9.706117842542517e-06,
|
351 |
+
"loss": 0.6847,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.20315091210613598,
|
356 |
+
"grad_norm": 2.5880146309365957,
|
357 |
+
"learning_rate": 9.681174353198687e-06,
|
358 |
+
"loss": 0.6761,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.20729684908789386,
|
363 |
+
"grad_norm": 2.265463148401158,
|
364 |
+
"learning_rate": 9.655249731699973e-06,
|
365 |
+
"loss": 0.6792,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.21144278606965175,
|
370 |
+
"grad_norm": 2.3094585077391243,
|
371 |
+
"learning_rate": 9.628349411614503e-06,
|
372 |
+
"loss": 0.6889,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.2155887230514096,
|
377 |
+
"grad_norm": 2.5538802594012315,
|
378 |
+
"learning_rate": 9.600479031008072e-06,
|
379 |
+
"loss": 0.6829,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.2197346600331675,
|
384 |
+
"grad_norm": 2.411078499465308,
|
385 |
+
"learning_rate": 9.571644431262463e-06,
|
386 |
+
"loss": 0.6754,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.22388059701492538,
|
391 |
+
"grad_norm": 2.360420446008403,
|
392 |
+
"learning_rate": 9.54185165585114e-06,
|
393 |
+
"loss": 0.6626,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.22802653399668324,
|
398 |
+
"grad_norm": 2.459578001858168,
|
399 |
+
"learning_rate": 9.511106949072588e-06,
|
400 |
+
"loss": 0.669,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.23217247097844113,
|
405 |
+
"grad_norm": 2.4402362565595115,
|
406 |
+
"learning_rate": 9.479416754741577e-06,
|
407 |
+
"loss": 0.6615,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.236318407960199,
|
412 |
+
"grad_norm": 2.5822351337198906,
|
413 |
+
"learning_rate": 9.446787714838579e-06,
|
414 |
+
"loss": 0.6514,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.24046434494195687,
|
419 |
+
"grad_norm": 2.313401890971625,
|
420 |
+
"learning_rate": 9.413226668117679e-06,
|
421 |
+
"loss": 0.6526,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.24461028192371476,
|
426 |
+
"grad_norm": 2.2602171932852277,
|
427 |
+
"learning_rate": 9.37874064867323e-06,
|
428 |
+
"loss": 0.6407,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.24875621890547264,
|
433 |
+
"grad_norm": 2.199439032927717,
|
434 |
+
"learning_rate": 9.343336884465577e-06,
|
435 |
+
"loss": 0.6538,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.25290215588723053,
|
440 |
+
"grad_norm": 2.3885639020372613,
|
441 |
+
"learning_rate": 9.307022795806125e-06,
|
442 |
+
"loss": 0.6489,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2570480928689884,
|
447 |
+
"grad_norm": 2.1637672184495114,
|
448 |
+
"learning_rate": 9.26980599380213e-06,
|
449 |
+
"loss": 0.6378,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.26119402985074625,
|
454 |
+
"grad_norm": 2.430992287073813,
|
455 |
+
"learning_rate": 9.231694278761455e-06,
|
456 |
+
"loss": 0.6277,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.26533996683250416,
|
461 |
+
"grad_norm": 2.241700824439163,
|
462 |
+
"learning_rate": 9.192695638557723e-06,
|
463 |
+
"loss": 0.6269,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.269485903814262,
|
468 |
+
"grad_norm": 2.3110446586037723,
|
469 |
+
"learning_rate": 9.1528182469561e-06,
|
470 |
+
"loss": 0.6188,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.2736318407960199,
|
475 |
+
"grad_norm": 2.3953066920058266,
|
476 |
+
"learning_rate": 9.112070461900178e-06,
|
477 |
+
"loss": 0.6165,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.2777777777777778,
|
482 |
+
"grad_norm": 2.373760618925254,
|
483 |
+
"learning_rate": 9.070460823760197e-06,
|
484 |
+
"loss": 0.6083,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.28192371475953565,
|
489 |
+
"grad_norm": 2.316668729079351,
|
490 |
+
"learning_rate": 9.027998053543079e-06,
|
491 |
+
"loss": 0.6108,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.2860696517412935,
|
496 |
+
"grad_norm": 2.2857072319973835,
|
497 |
+
"learning_rate": 8.984691051064576e-06,
|
498 |
+
"loss": 0.6232,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.2902155887230514,
|
503 |
+
"grad_norm": 2.098710949700429,
|
504 |
+
"learning_rate": 8.94054889308395e-06,
|
505 |
+
"loss": 0.6051,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.2943615257048093,
|
510 |
+
"grad_norm": 2.20767713179006,
|
511 |
+
"learning_rate": 8.895580831401563e-06,
|
512 |
+
"loss": 0.6128,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.29850746268656714,
|
517 |
+
"grad_norm": 2.2284584055532575,
|
518 |
+
"learning_rate": 8.849796290919787e-06,
|
519 |
+
"loss": 0.6021,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.30265339966832505,
|
524 |
+
"grad_norm": 2.1494719513708054,
|
525 |
+
"learning_rate": 8.803204867667624e-06,
|
526 |
+
"loss": 0.5985,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.3067993366500829,
|
531 |
+
"grad_norm": 2.197939057621055,
|
532 |
+
"learning_rate": 8.755816326789469e-06,
|
533 |
+
"loss": 0.5939,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.31094527363184077,
|
538 |
+
"grad_norm": 2.2386284592458914,
|
539 |
+
"learning_rate": 8.70764060049842e-06,
|
540 |
+
"loss": 0.593,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.3150912106135987,
|
545 |
+
"grad_norm": 2.401742728390247,
|
546 |
+
"learning_rate": 8.658687785994579e-06,
|
547 |
+
"loss": 0.5929,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.31923714759535654,
|
552 |
+
"grad_norm": 2.185601347943659,
|
553 |
+
"learning_rate": 8.608968143348765e-06,
|
554 |
+
"loss": 0.5785,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.32338308457711445,
|
559 |
+
"grad_norm": 2.382435915886427,
|
560 |
+
"learning_rate": 8.558492093352098e-06,
|
561 |
+
"loss": 0.5941,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.3275290215588723,
|
566 |
+
"grad_norm": 2.245237966412665,
|
567 |
+
"learning_rate": 8.50727021533189e-06,
|
568 |
+
"loss": 0.5791,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.33167495854063017,
|
573 |
+
"grad_norm": 2.210905541427763,
|
574 |
+
"learning_rate": 8.455313244934324e-06,
|
575 |
+
"loss": 0.5776,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.3358208955223881,
|
580 |
+
"grad_norm": 2.25124182944938,
|
581 |
+
"learning_rate": 8.402632071874348e-06,
|
582 |
+
"loss": 0.5761,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.33996683250414594,
|
587 |
+
"grad_norm": 2.318367828560386,
|
588 |
+
"learning_rate": 8.349237737653288e-06,
|
589 |
+
"loss": 0.5642,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3441127694859038,
|
594 |
+
"grad_norm": 2.22226285780482,
|
595 |
+
"learning_rate": 8.29514143324466e-06,
|
596 |
+
"loss": 0.5717,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3482587064676617,
|
601 |
+
"grad_norm": 2.3365625686335454,
|
602 |
+
"learning_rate": 8.24035449674863e-06,
|
603 |
+
"loss": 0.5742,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.3524046434494196,
|
608 |
+
"grad_norm": 2.397392257225569,
|
609 |
+
"learning_rate": 8.184888411015655e-06,
|
610 |
+
"loss": 0.5572,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.35655058043117743,
|
615 |
+
"grad_norm": 2.170211523773955,
|
616 |
+
"learning_rate": 8.128754801239781e-06,
|
617 |
+
"loss": 0.5643,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.36069651741293535,
|
622 |
+
"grad_norm": 2.2345632725077036,
|
623 |
+
"learning_rate": 8.071965432522107e-06,
|
624 |
+
"loss": 0.5511,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.3648424543946932,
|
629 |
+
"grad_norm": 2.5642658922512034,
|
630 |
+
"learning_rate": 8.01453220740492e-06,
|
631 |
+
"loss": 0.5549,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.36898839137645106,
|
636 |
+
"grad_norm": 2.2643156664457664,
|
637 |
+
"learning_rate": 7.956467163377037e-06,
|
638 |
+
"loss": 0.548,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.373134328358209,
|
643 |
+
"grad_norm": 2.2598271385003073,
|
644 |
+
"learning_rate": 7.89778247035085e-06,
|
645 |
+
"loss": 0.549,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.37728026533996684,
|
650 |
+
"grad_norm": 2.2096973686709043,
|
651 |
+
"learning_rate": 7.838490428111625e-06,
|
652 |
+
"loss": 0.5481,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.3814262023217247,
|
657 |
+
"grad_norm": 2.2158742606108013,
|
658 |
+
"learning_rate": 7.77860346373957e-06,
|
659 |
+
"loss": 0.5353,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.3855721393034826,
|
664 |
+
"grad_norm": 2.227206784578813,
|
665 |
+
"learning_rate": 7.718134129005238e-06,
|
666 |
+
"loss": 0.5458,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.38971807628524047,
|
671 |
+
"grad_norm": 2.250456554114917,
|
672 |
+
"learning_rate": 7.657095097738793e-06,
|
673 |
+
"loss": 0.5346,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.3938640132669983,
|
678 |
+
"grad_norm": 2.0913145200295173,
|
679 |
+
"learning_rate": 7.59549916317367e-06,
|
680 |
+
"loss": 0.5319,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.39800995024875624,
|
685 |
+
"grad_norm": 2.2021018890450277,
|
686 |
+
"learning_rate": 7.533359235265248e-06,
|
687 |
+
"loss": 0.5399,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.4021558872305141,
|
692 |
+
"grad_norm": 2.470025254943181,
|
693 |
+
"learning_rate": 7.470688337985029e-06,
|
694 |
+
"loss": 0.5286,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.40630182421227196,
|
699 |
+
"grad_norm": 2.118719596596625,
|
700 |
+
"learning_rate": 7.407499606590934e-06,
|
701 |
+
"loss": 0.5307,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.41044776119402987,
|
706 |
+
"grad_norm": 2.2191071823240054,
|
707 |
+
"learning_rate": 7.343806284874268e-06,
|
708 |
+
"loss": 0.5163,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.41459369817578773,
|
713 |
+
"grad_norm": 2.2680281384787158,
|
714 |
+
"learning_rate": 7.279621722383939e-06,
|
715 |
+
"loss": 0.5201,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.4187396351575456,
|
720 |
+
"grad_norm": 2.192485128822605,
|
721 |
+
"learning_rate": 7.214959371628522e-06,
|
722 |
+
"loss": 0.5147,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.4228855721393035,
|
727 |
+
"grad_norm": 2.0954471941939348,
|
728 |
+
"learning_rate": 7.149832785256718e-06,
|
729 |
+
"loss": 0.5222,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.42703150912106136,
|
734 |
+
"grad_norm": 2.2786753291313606,
|
735 |
+
"learning_rate": 7.084255613216855e-06,
|
736 |
+
"loss": 0.5131,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.4311774461028192,
|
741 |
+
"grad_norm": 2.255057502517376,
|
742 |
+
"learning_rate": 7.018241599895974e-06,
|
743 |
+
"loss": 0.5044,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.43532338308457713,
|
748 |
+
"grad_norm": 2.231896861869262,
|
749 |
+
"learning_rate": 6.95180458123913e-06,
|
750 |
+
"loss": 0.5021,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.439469320066335,
|
755 |
+
"grad_norm": 2.150100810777524,
|
756 |
+
"learning_rate": 6.8849584818494984e-06,
|
757 |
+
"loss": 0.5063,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.44361525704809285,
|
762 |
+
"grad_norm": 2.166139345995876,
|
763 |
+
"learning_rate": 6.817717312069913e-06,
|
764 |
+
"loss": 0.5013,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.44776119402985076,
|
769 |
+
"grad_norm": 2.1458812545141024,
|
770 |
+
"learning_rate": 6.750095165046415e-06,
|
771 |
+
"loss": 0.4915,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4519071310116086,
|
776 |
+
"grad_norm": 2.1508468010441106,
|
777 |
+
"learning_rate": 6.682106213774459e-06,
|
778 |
+
"loss": 0.4909,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4560530679933665,
|
783 |
+
"grad_norm": 2.1329384520928216,
|
784 |
+
"learning_rate": 6.6137647081283776e-06,
|
785 |
+
"loss": 0.4884,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.4601990049751244,
|
790 |
+
"grad_norm": 2.204604952138092,
|
791 |
+
"learning_rate": 6.545084971874738e-06,
|
792 |
+
"loss": 0.4898,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.46434494195688225,
|
797 |
+
"grad_norm": 2.151094585470471,
|
798 |
+
"learning_rate": 6.476081399670212e-06,
|
799 |
+
"loss": 0.5026,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4684908789386401,
|
804 |
+
"grad_norm": 2.1220218077497583,
|
805 |
+
"learning_rate": 6.406768454044581e-06,
|
806 |
+
"loss": 0.483,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.472636815920398,
|
811 |
+
"grad_norm": 2.351276627704081,
|
812 |
+
"learning_rate": 6.337160662369519e-06,
|
813 |
+
"loss": 0.4898,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.4767827529021559,
|
818 |
+
"grad_norm": 2.097791645235577,
|
819 |
+
"learning_rate": 6.267272613813789e-06,
|
820 |
+
"loss": 0.4867,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.48092868988391374,
|
825 |
+
"grad_norm": 2.254147716445627,
|
826 |
+
"learning_rate": 6.19711895628548e-06,
|
827 |
+
"loss": 0.4838,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.48507462686567165,
|
832 |
+
"grad_norm": 2.132491206903525,
|
833 |
+
"learning_rate": 6.126714393361939e-06,
|
834 |
+
"loss": 0.4687,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.4892205638474295,
|
839 |
+
"grad_norm": 2.1755427175233675,
|
840 |
+
"learning_rate": 6.056073681208038e-06,
|
841 |
+
"loss": 0.4846,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.49336650082918737,
|
846 |
+
"grad_norm": 2.2166671419673936,
|
847 |
+
"learning_rate": 5.985211625483403e-06,
|
848 |
+
"loss": 0.4691,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.4975124378109453,
|
853 |
+
"grad_norm": 2.074430457553342,
|
854 |
+
"learning_rate": 5.914143078239293e-06,
|
855 |
+
"loss": 0.4668,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.5016583747927031,
|
860 |
+
"grad_norm": 2.1855010339066285,
|
861 |
+
"learning_rate": 5.842882934805731e-06,
|
862 |
+
"loss": 0.4747,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.5058043117744611,
|
867 |
+
"grad_norm": 2.080130024063031,
|
868 |
+
"learning_rate": 5.771446130669589e-06,
|
869 |
+
"loss": 0.4648,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.5099502487562189,
|
874 |
+
"grad_norm": 2.2706734365013586,
|
875 |
+
"learning_rate": 5.6998476383442345e-06,
|
876 |
+
"loss": 0.4672,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.5140961857379768,
|
881 |
+
"grad_norm": 2.2061487275873675,
|
882 |
+
"learning_rate": 5.628102464231429e-06,
|
883 |
+
"loss": 0.4572,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.5182421227197347,
|
888 |
+
"grad_norm": 2.106202128986693,
|
889 |
+
"learning_rate": 5.556225645476119e-06,
|
890 |
+
"loss": 0.4551,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.5223880597014925,
|
895 |
+
"grad_norm": 2.164397168766167,
|
896 |
+
"learning_rate": 5.4842322468147926e-06,
|
897 |
+
"loss": 0.4631,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.5265339966832504,
|
902 |
+
"grad_norm": 2.1067639245390164,
|
903 |
+
"learning_rate": 5.412137357418037e-06,
|
904 |
+
"loss": 0.4558,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.5306799336650083,
|
909 |
+
"grad_norm": 2.042765318334228,
|
910 |
+
"learning_rate": 5.339956087727985e-06,
|
911 |
+
"loss": 0.4517,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.5348258706467661,
|
916 |
+
"grad_norm": 2.2878931581220607,
|
917 |
+
"learning_rate": 5.2677035662913116e-06,
|
918 |
+
"loss": 0.4509,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.538971807628524,
|
923 |
+
"grad_norm": 2.257982283268261,
|
924 |
+
"learning_rate": 5.195394936588409e-06,
|
925 |
+
"loss": 0.4465,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.543117744610282,
|
930 |
+
"grad_norm": 2.0663328687466027,
|
931 |
+
"learning_rate": 5.123045353859465e-06,
|
932 |
+
"loss": 0.4543,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.5472636815920398,
|
937 |
+
"grad_norm": 2.1437144866342983,
|
938 |
+
"learning_rate": 5.050669981928056e-06,
|
939 |
+
"loss": 0.4525,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.5514096185737977,
|
944 |
+
"grad_norm": 2.0883208963142113,
|
945 |
+
"learning_rate": 4.978283990022936e-06,
|
946 |
+
"loss": 0.4438,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.5555555555555556,
|
951 |
+
"grad_norm": 2.111420551110085,
|
952 |
+
"learning_rate": 4.905902549598719e-06,
|
953 |
+
"loss": 0.445,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.5597014925373134,
|
958 |
+
"grad_norm": 2.068453334060506,
|
959 |
+
"learning_rate": 4.833540831156062e-06,
|
960 |
+
"loss": 0.4402,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5638474295190713,
|
965 |
+
"grad_norm": 2.158910191803973,
|
966 |
+
"learning_rate": 4.761214001062079e-06,
|
967 |
+
"loss": 0.4426,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5679933665008292,
|
972 |
+
"grad_norm": 2.1065328754001693,
|
973 |
+
"learning_rate": 4.688937218371592e-06,
|
974 |
+
"loss": 0.4454,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.572139303482587,
|
979 |
+
"grad_norm": 2.019371521833108,
|
980 |
+
"learning_rate": 4.616725631649938e-06,
|
981 |
+
"loss": 0.434,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5762852404643449,
|
986 |
+
"grad_norm": 2.162342441008238,
|
987 |
+
"learning_rate": 4.544594375797969e-06,
|
988 |
+
"loss": 0.4359,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.5804311774461028,
|
993 |
+
"grad_norm": 2.1532621197943596,
|
994 |
+
"learning_rate": 4.472558568879901e-06,
|
995 |
+
"loss": 0.4264,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.5845771144278606,
|
1000 |
+
"grad_norm": 2.045817805816866,
|
1001 |
+
"learning_rate": 4.400633308954713e-06,
|
1002 |
+
"loss": 0.4377,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5887230514096186,
|
1007 |
+
"grad_norm": 2.068014268281018,
|
1008 |
+
"learning_rate": 4.3288336709117246e-06,
|
1009 |
+
"loss": 0.4286,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.5928689883913765,
|
1014 |
+
"grad_norm": 2.0015792155885372,
|
1015 |
+
"learning_rate": 4.257174703311032e-06,
|
1016 |
+
"loss": 0.4177,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.5970149253731343,
|
1021 |
+
"grad_norm": 1.991509167040826,
|
1022 |
+
"learning_rate": 4.185671425229477e-06,
|
1023 |
+
"loss": 0.4229,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.6011608623548922,
|
1028 |
+
"grad_norm": 2.1167861439632065,
|
1029 |
+
"learning_rate": 4.11433882311277e-06,
|
1030 |
+
"loss": 0.4168,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.6053067993366501,
|
1035 |
+
"grad_norm": 2.157855739678933,
|
1036 |
+
"learning_rate": 4.043191847634469e-06,
|
1037 |
+
"loss": 0.4269,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.6094527363184079,
|
1042 |
+
"grad_norm": 2.079976376382546,
|
1043 |
+
"learning_rate": 3.9722454105624545e-06,
|
1044 |
+
"loss": 0.4089,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6135986733001658,
|
1049 |
+
"grad_norm": 2.0902836848679125,
|
1050 |
+
"learning_rate": 3.901514381633555e-06,
|
1051 |
+
"loss": 0.4155,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.6177446102819237,
|
1056 |
+
"grad_norm": 2.212253263846612,
|
1057 |
+
"learning_rate": 3.831013585436985e-06,
|
1058 |
+
"loss": 0.4058,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.6218905472636815,
|
1063 |
+
"grad_norm": 2.031272866177863,
|
1064 |
+
"learning_rate": 3.7607577983072486e-06,
|
1065 |
+
"loss": 0.4215,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.6260364842454395,
|
1070 |
+
"grad_norm": 2.0730340821988236,
|
1071 |
+
"learning_rate": 3.6907617452271394e-06,
|
1072 |
+
"loss": 0.4088,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.6301824212271974,
|
1077 |
+
"grad_norm": 2.026454332990267,
|
1078 |
+
"learning_rate": 3.621040096741526e-06,
|
1079 |
+
"loss": 0.4093,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.6343283582089553,
|
1084 |
+
"grad_norm": 2.0635438234787986,
|
1085 |
+
"learning_rate": 3.55160746588254e-06,
|
1086 |
+
"loss": 0.4111,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.6384742951907131,
|
1091 |
+
"grad_norm": 2.2500499736874193,
|
1092 |
+
"learning_rate": 3.482478405106803e-06,
|
1093 |
+
"loss": 0.4059,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.642620232172471,
|
1098 |
+
"grad_norm": 2.049125956105953,
|
1099 |
+
"learning_rate": 3.4136674032453787e-06,
|
1100 |
+
"loss": 0.4055,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.6467661691542289,
|
1105 |
+
"grad_norm": 2.1798987402102656,
|
1106 |
+
"learning_rate": 3.34518888246703e-06,
|
1107 |
+
"loss": 0.4001,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.6509121061359867,
|
1112 |
+
"grad_norm": 2.018383080122737,
|
1113 |
+
"learning_rate": 3.2770571952554674e-06,
|
1114 |
+
"loss": 0.4115,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.6550580431177446,
|
1119 |
+
"grad_norm": 2.116608719766938,
|
1120 |
+
"learning_rate": 3.2092866214011984e-06,
|
1121 |
+
"loss": 0.3994,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.6592039800995025,
|
1126 |
+
"grad_norm": 2.0325657099793966,
|
1127 |
+
"learning_rate": 3.141891365008609e-06,
|
1128 |
+
"loss": 0.3934,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.6633499170812603,
|
1133 |
+
"grad_norm": 1.951948440418877,
|
1134 |
+
"learning_rate": 3.0748855515189104e-06,
|
1135 |
+
"loss": 0.3988,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.6674958540630183,
|
1140 |
+
"grad_norm": 2.1780405134646665,
|
1141 |
+
"learning_rate": 3.00828322474958e-06,
|
1142 |
+
"loss": 0.3905,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.6716417910447762,
|
1147 |
+
"grad_norm": 2.0809299186938452,
|
1148 |
+
"learning_rate": 2.942098343950891e-06,
|
1149 |
+
"loss": 0.3944,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.675787728026534,
|
1154 |
+
"grad_norm": 1.9769415360760876,
|
1155 |
+
"learning_rate": 2.8763447808801914e-06,
|
1156 |
+
"loss": 0.3952,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.6799336650082919,
|
1161 |
+
"grad_norm": 2.0165191387468577,
|
1162 |
+
"learning_rate": 2.8110363168944976e-06,
|
1163 |
+
"loss": 0.3943,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6840796019900498,
|
1168 |
+
"grad_norm": 2.067073539421952,
|
1169 |
+
"learning_rate": 2.7461866400620506e-06,
|
1170 |
+
"loss": 0.397,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6882255389718076,
|
1175 |
+
"grad_norm": 2.2430133872078235,
|
1176 |
+
"learning_rate": 2.6818093422934254e-06,
|
1177 |
+
"loss": 0.3873,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6923714759535655,
|
1182 |
+
"grad_norm": 2.0056674691322414,
|
1183 |
+
"learning_rate": 2.617917916492776e-06,
|
1184 |
+
"loss": 0.3862,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.6965174129353234,
|
1189 |
+
"grad_norm": 2.2368944940213895,
|
1190 |
+
"learning_rate": 2.5545257537298497e-06,
|
1191 |
+
"loss": 0.3881,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.7006633499170812,
|
1196 |
+
"grad_norm": 2.0486303817757694,
|
1197 |
+
"learning_rate": 2.491646140433346e-06,
|
1198 |
+
"loss": 0.3826,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.7048092868988391,
|
1203 |
+
"grad_norm": 1.9653848895410453,
|
1204 |
+
"learning_rate": 2.4292922556061877e-06,
|
1205 |
+
"loss": 0.383,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.7089552238805971,
|
1210 |
+
"grad_norm": 1.9970130911409754,
|
1211 |
+
"learning_rate": 2.367477168063326e-06,
|
1212 |
+
"loss": 0.3908,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.7131011608623549,
|
1217 |
+
"grad_norm": 2.2828359832017986,
|
1218 |
+
"learning_rate": 2.3062138336926406e-06,
|
1219 |
+
"loss": 0.3785,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.7172470978441128,
|
1224 |
+
"grad_norm": 1.9936084042443714,
|
1225 |
+
"learning_rate": 2.245515092739488e-06,
|
1226 |
+
"loss": 0.3789,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.7213930348258707,
|
1231 |
+
"grad_norm": 2.0968907429438306,
|
1232 |
+
"learning_rate": 2.185393667115513e-06,
|
1233 |
+
"loss": 0.3763,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.7255389718076285,
|
1238 |
+
"grad_norm": 2.094302381182494,
|
1239 |
+
"learning_rate": 2.125862157732245e-06,
|
1240 |
+
"loss": 0.3824,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.7296849087893864,
|
1245 |
+
"grad_norm": 2.0254226506847335,
|
1246 |
+
"learning_rate": 2.066933041860059e-06,
|
1247 |
+
"loss": 0.3717,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.7338308457711443,
|
1252 |
+
"grad_norm": 2.088557256342498,
|
1253 |
+
"learning_rate": 2.0086186705130545e-06,
|
1254 |
+
"loss": 0.3774,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.7379767827529021,
|
1259 |
+
"grad_norm": 1.9729363418312684,
|
1260 |
+
"learning_rate": 1.9509312658603954e-06,
|
1261 |
+
"loss": 0.3617,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.74212271973466,
|
1266 |
+
"grad_norm": 2.004972020498788,
|
1267 |
+
"learning_rate": 1.8938829186646484e-06,
|
1268 |
+
"loss": 0.3703,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.746268656716418,
|
1273 |
+
"grad_norm": 2.068508600154368,
|
1274 |
+
"learning_rate": 1.8374855857476687e-06,
|
1275 |
+
"loss": 0.3742,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.7504145936981758,
|
1280 |
+
"grad_norm": 1.9735024401776045,
|
1281 |
+
"learning_rate": 1.7817510874845585e-06,
|
1282 |
+
"loss": 0.3726,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.7545605306799337,
|
1287 |
+
"grad_norm": 1.9048148982657027,
|
1288 |
+
"learning_rate": 1.7266911053262196e-06,
|
1289 |
+
"loss": 0.3573,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.7587064676616916,
|
1294 |
+
"grad_norm": 2.008169389953658,
|
1295 |
+
"learning_rate": 1.6723171793510363e-06,
|
1296 |
+
"loss": 0.3648,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.7628524046434494,
|
1301 |
+
"grad_norm": 2.0403043389904836,
|
1302 |
+
"learning_rate": 1.6186407058461622e-06,
|
1303 |
+
"loss": 0.3672,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.7669983416252073,
|
1308 |
+
"grad_norm": 2.0206754317295568,
|
1309 |
+
"learning_rate": 1.5656729349189742e-06,
|
1310 |
+
"loss": 0.3584,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.7711442786069652,
|
1315 |
+
"grad_norm": 2.21355887603079,
|
1316 |
+
"learning_rate": 1.5134249681391416e-06,
|
1317 |
+
"loss": 0.3629,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.775290215588723,
|
1322 |
+
"grad_norm": 1.9815337955525554,
|
1323 |
+
"learning_rate": 1.4619077562118477e-06,
|
1324 |
+
"loss": 0.3602,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.7794361525704809,
|
1329 |
+
"grad_norm": 2.095624811245843,
|
1330 |
+
"learning_rate": 1.411132096682606e-06,
|
1331 |
+
"loss": 0.3625,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.7835820895522388,
|
1336 |
+
"grad_norm": 2.0717460611601846,
|
1337 |
+
"learning_rate": 1.3611086316742057e-06,
|
1338 |
+
"loss": 0.358,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.7877280265339967,
|
1343 |
+
"grad_norm": 2.077072842707322,
|
1344 |
+
"learning_rate": 1.3118478456562073e-06,
|
1345 |
+
"loss": 0.361,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.7918739635157546,
|
1350 |
+
"grad_norm": 2.092256674883774,
|
1351 |
+
"learning_rate": 1.2633600632474962e-06,
|
1352 |
+
"loss": 0.3597,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.7960199004975125,
|
1357 |
+
"grad_norm": 2.0064897074384715,
|
1358 |
+
"learning_rate": 1.2156554470523364e-06,
|
1359 |
+
"loss": 0.3568,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.8001658374792703,
|
1364 |
+
"grad_norm": 2.0443529466183583,
|
1365 |
+
"learning_rate": 1.1687439955303764e-06,
|
1366 |
+
"loss": 0.3609,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.8043117744610282,
|
1371 |
+
"grad_norm": 2.1390446036117057,
|
1372 |
+
"learning_rate": 1.1226355409010686e-06,
|
1373 |
+
"loss": 0.3484,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.8084577114427861,
|
1378 |
+
"grad_norm": 2.0533181729015073,
|
1379 |
+
"learning_rate": 1.0773397470829145e-06,
|
1380 |
+
"loss": 0.3563,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.8126036484245439,
|
1385 |
+
"grad_norm": 1.9694189898925665,
|
1386 |
+
"learning_rate": 1.032866107667999e-06,
|
1387 |
+
"loss": 0.3555,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.8167495854063018,
|
1392 |
+
"grad_norm": 2.06716828543327,
|
1393 |
+
"learning_rate": 9.892239439322243e-07,
|
1394 |
+
"loss": 0.3565,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.8208955223880597,
|
1399 |
+
"grad_norm": 1.9932579734924687,
|
1400 |
+
"learning_rate": 9.464224028816427e-07,
|
1401 |
+
"loss": 0.3458,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.8250414593698175,
|
1406 |
+
"grad_norm": 2.054408370219731,
|
1407 |
+
"learning_rate": 9.044704553353323e-07,
|
1408 |
+
"loss": 0.3552,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.8291873963515755,
|
1413 |
+
"grad_norm": 1.973455889397997,
|
1414 |
+
"learning_rate": 8.633768940451981e-07,
|
1415 |
+
"loss": 0.3486,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.8333333333333334,
|
1420 |
+
"grad_norm": 1.8931502640580207,
|
1421 |
+
"learning_rate": 8.231503318530814e-07,
|
1422 |
+
"loss": 0.347,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.8374792703150912,
|
1427 |
+
"grad_norm": 2.001049515702371,
|
1428 |
+
"learning_rate": 7.837991998855899e-07,
|
1429 |
+
"loss": 0.3455,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.8416252072968491,
|
1434 |
+
"grad_norm": 1.9995964909333828,
|
1435 |
+
"learning_rate": 7.453317457870096e-07,
|
1436 |
+
"loss": 0.3484,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.845771144278607,
|
1441 |
+
"grad_norm": 2.013571417338608,
|
1442 |
+
"learning_rate": 7.077560319906696e-07,
|
1443 |
+
"loss": 0.3532,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.8499170812603648,
|
1448 |
+
"grad_norm": 1.936993522187304,
|
1449 |
+
"learning_rate": 6.710799340291341e-07,
|
1450 |
+
"loss": 0.3551,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.8540630182421227,
|
1455 |
+
"grad_norm": 2.0795836765220437,
|
1456 |
+
"learning_rate": 6.353111388835564e-07,
|
1457 |
+
"loss": 0.3508,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.8582089552238806,
|
1462 |
+
"grad_norm": 2.152120228931756,
|
1463 |
+
"learning_rate": 6.00457143372557e-07,
|
1464 |
+
"loss": 0.3456,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.8623548922056384,
|
1469 |
+
"grad_norm": 2.0979576731637204,
|
1470 |
+
"learning_rate": 5.665252525809583e-07,
|
1471 |
+
"loss": 0.3413,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.8665008291873963,
|
1476 |
+
"grad_norm": 2.053994823878588,
|
1477 |
+
"learning_rate": 5.335225783287051e-07,
|
1478 |
+
"loss": 0.3447,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.8706467661691543,
|
1483 |
+
"grad_norm": 2.0748523280459885,
|
1484 |
+
"learning_rate": 5.014560376802913e-07,
|
1485 |
+
"loss": 0.3522,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.8747927031509121,
|
1490 |
+
"grad_norm": 1.9949057030771349,
|
1491 |
+
"learning_rate": 4.703323514950042e-07,
|
1492 |
+
"loss": 0.3422,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.87893864013267,
|
1497 |
+
"grad_norm": 2.041787728436122,
|
1498 |
+
"learning_rate": 4.401580430182928e-07,
|
1499 |
+
"loss": 0.3468,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.8830845771144279,
|
1504 |
+
"grad_norm": 2.047401944679116,
|
1505 |
+
"learning_rate": 4.1093943651455305e-07,
|
1506 |
+
"loss": 0.3449,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.8872305140961857,
|
1511 |
+
"grad_norm": 2.026607234375352,
|
1512 |
+
"learning_rate": 3.826826559416219e-07,
|
1513 |
+
"loss": 0.3436,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.8913764510779436,
|
1518 |
+
"grad_norm": 1.9784143122665,
|
1519 |
+
"learning_rate": 3.5539362366724784e-07,
|
1520 |
+
"loss": 0.3414,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.8955223880597015,
|
1525 |
+
"grad_norm": 2.0742460744946887,
|
1526 |
+
"learning_rate": 3.290780592278148e-07,
|
1527 |
+
"loss": 0.3388,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.8996683250414593,
|
1532 |
+
"grad_norm": 2.0665904257359564,
|
1533 |
+
"learning_rate": 3.0374147812958387e-07,
|
1534 |
+
"loss": 0.3375,
|
1535 |
+
"step": 1085
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.9038142620232172,
|
1539 |
+
"grad_norm": 2.0474865317583153,
|
1540 |
+
"learning_rate": 2.7938919069268654e-07,
|
1541 |
+
"loss": 0.3416,
|
1542 |
+
"step": 1090
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.9079601990049752,
|
1546 |
+
"grad_norm": 2.01615513079154,
|
1547 |
+
"learning_rate": 2.5602630093813253e-07,
|
1548 |
+
"loss": 0.3459,
|
1549 |
+
"step": 1095
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.912106135986733,
|
1553 |
+
"grad_norm": 2.0584349650509006,
|
1554 |
+
"learning_rate": 2.3365770551805223e-07,
|
1555 |
+
"loss": 0.3454,
|
1556 |
+
"step": 1100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.9162520729684909,
|
1560 |
+
"grad_norm": 1.9418495675468312,
|
1561 |
+
"learning_rate": 2.1228809268940164e-07,
|
1562 |
+
"loss": 0.343,
|
1563 |
+
"step": 1105
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.9203980099502488,
|
1567 |
+
"grad_norm": 2.1058130546046856,
|
1568 |
+
"learning_rate": 1.919219413313478e-07,
|
1569 |
+
"loss": 0.334,
|
1570 |
+
"step": 1110
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.9245439469320066,
|
1574 |
+
"grad_norm": 1.9826703763375784,
|
1575 |
+
"learning_rate": 1.725635200065323e-07,
|
1576 |
+
"loss": 0.3333,
|
1577 |
+
"step": 1115
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.9286898839137645,
|
1581 |
+
"grad_norm": 2.128017210498838,
|
1582 |
+
"learning_rate": 1.5421688606642392e-07,
|
1583 |
+
"loss": 0.3405,
|
1584 |
+
"step": 1120
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.9328358208955224,
|
1588 |
+
"grad_norm": 2.221737755918679,
|
1589 |
+
"learning_rate": 1.3688588480092913e-07,
|
1590 |
+
"loss": 0.3444,
|
1591 |
+
"step": 1125
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.9369817578772802,
|
1595 |
+
"grad_norm": 1.973211526295206,
|
1596 |
+
"learning_rate": 1.205741486324552e-07,
|
1597 |
+
"loss": 0.3371,
|
1598 |
+
"step": 1130
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.9411276948590381,
|
1602 |
+
"grad_norm": 2.1094021028143146,
|
1603 |
+
"learning_rate": 1.0528509635458873e-07,
|
1604 |
+
"loss": 0.3372,
|
1605 |
+
"step": 1135
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.945273631840796,
|
1609 |
+
"grad_norm": 2.105030991712497,
|
1610 |
+
"learning_rate": 9.102193241554757e-08,
|
1611 |
+
"loss": 0.3431,
|
1612 |
+
"step": 1140
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.9494195688225538,
|
1616 |
+
"grad_norm": 2.0343476094611295,
|
1617 |
+
"learning_rate": 7.778764624655433e-08,
|
1618 |
+
"loss": 0.3409,
|
1619 |
+
"step": 1145
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.9535655058043118,
|
1623 |
+
"grad_norm": 2.2397713243211963,
|
1624 |
+
"learning_rate": 6.558501163527964e-08,
|
1625 |
+
"loss": 0.3391,
|
1626 |
+
"step": 1150
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.9577114427860697,
|
1630 |
+
"grad_norm": 1.9822421247052011,
|
1631 |
+
"learning_rate": 5.44165861444812e-08,
|
1632 |
+
"loss": 0.3405,
|
1633 |
+
"step": 1155
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.9618573797678275,
|
1637 |
+
"grad_norm": 2.1147360132390713,
|
1638 |
+
"learning_rate": 4.428471057596362e-08,
|
1639 |
+
"loss": 0.3402,
|
1640 |
+
"step": 1160
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.9660033167495854,
|
1644 |
+
"grad_norm": 2.0560516008756924,
|
1645 |
+
"learning_rate": 3.519150847996422e-08,
|
1646 |
+
"loss": 0.3381,
|
1647 |
+
"step": 1165
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.9701492537313433,
|
1651 |
+
"grad_norm": 2.010722248694153,
|
1652 |
+
"learning_rate": 2.713888571007739e-08,
|
1653 |
+
"loss": 0.3408,
|
1654 |
+
"step": 1170
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.9742951907131011,
|
1658 |
+
"grad_norm": 2.0190484921041985,
|
1659 |
+
"learning_rate": 2.012853002380466e-08,
|
1660 |
+
"loss": 0.3318,
|
1661 |
+
"step": 1175
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.978441127694859,
|
1665 |
+
"grad_norm": 2.061213730599656,
|
1666 |
+
"learning_rate": 1.4161910728816009e-08,
|
1667 |
+
"loss": 0.3356,
|
1668 |
+
"step": 1180
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.9825870646766169,
|
1672 |
+
"grad_norm": 1.9826574739124956,
|
1673 |
+
"learning_rate": 9.240278374995637e-09,
|
1674 |
+
"loss": 0.3386,
|
1675 |
+
"step": 1185
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.9867330016583747,
|
1679 |
+
"grad_norm": 1.9287703091271367,
|
1680 |
+
"learning_rate": 5.364664492337746e-09,
|
1681 |
+
"loss": 0.3378,
|
1682 |
+
"step": 1190
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.9908789386401327,
|
1686 |
+
"grad_norm": 2.131184018330049,
|
1687 |
+
"learning_rate": 2.5358813747500266e-09,
|
1688 |
+
"loss": 0.3374,
|
1689 |
+
"step": 1195
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.9950248756218906,
|
1693 |
+
"grad_norm": 2.053000413572238,
|
1694 |
+
"learning_rate": 7.545219097987444e-10,
|
1695 |
+
"loss": 0.3383,
|
1696 |
+
"step": 1200
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.9991708126036484,
|
1700 |
+
"grad_norm": 2.1341756433072914,
|
1701 |
+
"learning_rate": 2.0959454449243076e-11,
|
1702 |
+
"loss": 0.3423,
|
1703 |
+
"step": 1205
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 1.0,
|
1707 |
+
"eval_loss": 0.3398309648036957,
|
1708 |
+
"eval_runtime": 124.7272,
|
1709 |
+
"eval_samples_per_second": 3.127,
|
1710 |
+
"eval_steps_per_second": 0.786,
|
1711 |
+
"step": 1206
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 1.0,
|
1715 |
+
"step": 1206,
|
1716 |
+
"total_flos": 252459519836160.0,
|
1717 |
+
"train_loss": 0.5258088858912437,
|
1718 |
+
"train_runtime": 27195.6189,
|
1719 |
+
"train_samples_per_second": 1.419,
|
1720 |
+
"train_steps_per_second": 0.044
|
1721 |
+
}
|
1722 |
+
],
|
1723 |
+
"logging_steps": 5,
|
1724 |
+
"max_steps": 1206,
|
1725 |
+
"num_input_tokens_seen": 0,
|
1726 |
+
"num_train_epochs": 1,
|
1727 |
+
"save_steps": 100,
|
1728 |
+
"stateful_callbacks": {
|
1729 |
+
"TrainerControl": {
|
1730 |
+
"args": {
|
1731 |
+
"should_epoch_stop": false,
|
1732 |
+
"should_evaluate": false,
|
1733 |
+
"should_log": false,
|
1734 |
+
"should_save": true,
|
1735 |
+
"should_training_stop": true
|
1736 |
+
},
|
1737 |
+
"attributes": {}
|
1738 |
+
}
|
1739 |
+
},
|
1740 |
+
"total_flos": 252459519836160.0,
|
1741 |
+
"train_batch_size": 2,
|
1742 |
+
"trial_name": null,
|
1743 |
+
"trial_params": null
|
1744 |
+
}
|