PeterJinGo
commited on
Model save
Browse files- README.md +67 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- runs/Oct16_20-53-00_h100-bowen-1v0t/events.out.tfevents.1729112041.h100-bowen-1v0t.2384594.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1569 -0
README.md
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: mistralai/Mistral-7B-v0.1
|
5 |
+
tags:
|
6 |
+
- trl
|
7 |
+
- sft
|
8 |
+
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- generator
|
11 |
+
model-index:
|
12 |
+
- name: zephyr-7b-sft-full
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# zephyr-7b-sft-full
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.9415
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 2e-05
|
43 |
+
- train_batch_size: 16
|
44 |
+
- eval_batch_size: 8
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 8
|
48 |
+
- total_train_batch_size: 128
|
49 |
+
- total_eval_batch_size: 64
|
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 |
+
| 0.9403 | 1.0 | 1084 | 0.9415 |
|
60 |
+
|
61 |
+
|
62 |
+
### Framework versions
|
63 |
+
|
64 |
+
- Transformers 4.45.2
|
65 |
+
- Pytorch 2.1.0
|
66 |
+
- Datasets 3.0.1
|
67 |
+
- Tokenizers 0.20.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 453935093514240.0,
|
4 |
+
"train_loss": 0.9830407258329357,
|
5 |
+
"train_runtime": 11998.8497,
|
6 |
+
"train_samples": 207864,
|
7 |
+
"train_samples_per_second": 11.558,
|
8 |
+
"train_steps_per_second": 0.09
|
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": "4.45.2"
|
6 |
+
}
|
runs/Oct16_20-53-00_h100-bowen-1v0t/events.out.tfevents.1729112041.h100-bowen-1v0t.2384594.0
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:c02c7d57e882cc0c209b89933045e5b86e3f53a3eefc8bc7e1ce48256328634b
|
3 |
+
size 51863
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 453935093514240.0,
|
4 |
+
"train_loss": 0.9830407258329357,
|
5 |
+
"train_runtime": 11998.8497,
|
6 |
+
"train_samples": 207864,
|
7 |
+
"train_samples_per_second": 11.558,
|
8 |
+
"train_steps_per_second": 0.09
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1569 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1084,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0009225092250922509,
|
13 |
+
"grad_norm": 9.870575577438405,
|
14 |
+
"learning_rate": 1.8348623853211012e-07,
|
15 |
+
"loss": 1.1607,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.004612546125461255,
|
20 |
+
"grad_norm": 7.65916956083968,
|
21 |
+
"learning_rate": 9.174311926605506e-07,
|
22 |
+
"loss": 1.1303,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.00922509225092251,
|
27 |
+
"grad_norm": 3.7726483117427345,
|
28 |
+
"learning_rate": 1.8348623853211011e-06,
|
29 |
+
"loss": 1.057,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.013837638376383764,
|
34 |
+
"grad_norm": 2.5379513268735505,
|
35 |
+
"learning_rate": 2.7522935779816517e-06,
|
36 |
+
"loss": 1.0238,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.01845018450184502,
|
41 |
+
"grad_norm": 2.0372936699866466,
|
42 |
+
"learning_rate": 3.6697247706422022e-06,
|
43 |
+
"loss": 0.9931,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.023062730627306273,
|
48 |
+
"grad_norm": 1.9015079532614876,
|
49 |
+
"learning_rate": 4.587155963302753e-06,
|
50 |
+
"loss": 0.9821,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.027675276752767528,
|
55 |
+
"grad_norm": 2.2588401749573546,
|
56 |
+
"learning_rate": 5.504587155963303e-06,
|
57 |
+
"loss": 0.9798,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.03228782287822878,
|
62 |
+
"grad_norm": 2.7788236168992237,
|
63 |
+
"learning_rate": 6.422018348623854e-06,
|
64 |
+
"loss": 0.9812,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03690036900369004,
|
69 |
+
"grad_norm": 2.0946702560307022,
|
70 |
+
"learning_rate": 7.3394495412844045e-06,
|
71 |
+
"loss": 0.9807,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.04151291512915129,
|
76 |
+
"grad_norm": 2.5421232639973415,
|
77 |
+
"learning_rate": 8.256880733944956e-06,
|
78 |
+
"loss": 0.9867,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.046125461254612546,
|
83 |
+
"grad_norm": 2.346175802405767,
|
84 |
+
"learning_rate": 9.174311926605506e-06,
|
85 |
+
"loss": 0.9966,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.0507380073800738,
|
90 |
+
"grad_norm": 2.4887196180378783,
|
91 |
+
"learning_rate": 1.0091743119266055e-05,
|
92 |
+
"loss": 0.9908,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.055350553505535055,
|
97 |
+
"grad_norm": 2.0063521735753165,
|
98 |
+
"learning_rate": 1.1009174311926607e-05,
|
99 |
+
"loss": 0.9924,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.05996309963099631,
|
104 |
+
"grad_norm": 1.9753528261008033,
|
105 |
+
"learning_rate": 1.1926605504587156e-05,
|
106 |
+
"loss": 1.0028,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.06457564575645756,
|
111 |
+
"grad_norm": 2.8188122479797793,
|
112 |
+
"learning_rate": 1.2844036697247708e-05,
|
113 |
+
"loss": 0.9874,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06918819188191883,
|
118 |
+
"grad_norm": 2.4283436777324243,
|
119 |
+
"learning_rate": 1.3761467889908258e-05,
|
120 |
+
"loss": 1.0038,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.07380073800738007,
|
125 |
+
"grad_norm": 2.2694140697845735,
|
126 |
+
"learning_rate": 1.4678899082568809e-05,
|
127 |
+
"loss": 1.0162,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07841328413284133,
|
132 |
+
"grad_norm": 2.2296135287203533,
|
133 |
+
"learning_rate": 1.559633027522936e-05,
|
134 |
+
"loss": 1.0022,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.08302583025830258,
|
139 |
+
"grad_norm": 2.496334289275322,
|
140 |
+
"learning_rate": 1.6513761467889912e-05,
|
141 |
+
"loss": 0.9963,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.08763837638376384,
|
146 |
+
"grad_norm": 3.048918418901738,
|
147 |
+
"learning_rate": 1.743119266055046e-05,
|
148 |
+
"loss": 0.9874,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.09225092250922509,
|
153 |
+
"grad_norm": 2.219949213385871,
|
154 |
+
"learning_rate": 1.834862385321101e-05,
|
155 |
+
"loss": 1.0366,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.09686346863468635,
|
160 |
+
"grad_norm": 2.3152361863940305,
|
161 |
+
"learning_rate": 1.9266055045871563e-05,
|
162 |
+
"loss": 1.009,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1014760147601476,
|
167 |
+
"grad_norm": 2.1557669545307925,
|
168 |
+
"learning_rate": 1.9999948088910656e-05,
|
169 |
+
"loss": 1.0126,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.10608856088560886,
|
174 |
+
"grad_norm": 2.5252882972323283,
|
175 |
+
"learning_rate": 1.9998131257372878e-05,
|
176 |
+
"loss": 1.0228,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.11070110701107011,
|
181 |
+
"grad_norm": 1.754976914882788,
|
182 |
+
"learning_rate": 1.999371941029485e-05,
|
183 |
+
"loss": 1.0132,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.11531365313653137,
|
188 |
+
"grad_norm": 1.8015448977018316,
|
189 |
+
"learning_rate": 1.9986713692771732e-05,
|
190 |
+
"loss": 1.0354,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.11992619926199262,
|
195 |
+
"grad_norm": 1.8342985482903624,
|
196 |
+
"learning_rate": 1.9977115923137912e-05,
|
197 |
+
"loss": 1.0299,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.12453874538745388,
|
202 |
+
"grad_norm": 1.7924526745821787,
|
203 |
+
"learning_rate": 1.9964928592495046e-05,
|
204 |
+
"loss": 1.0315,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.12915129151291513,
|
209 |
+
"grad_norm": 15.523610268563516,
|
210 |
+
"learning_rate": 1.9950154864065497e-05,
|
211 |
+
"loss": 1.0376,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.13376383763837638,
|
216 |
+
"grad_norm": 2.102764923940876,
|
217 |
+
"learning_rate": 1.993279857237133e-05,
|
218 |
+
"loss": 1.0436,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.13837638376383765,
|
223 |
+
"grad_norm": 2.1109629634915197,
|
224 |
+
"learning_rate": 1.9912864222239045e-05,
|
225 |
+
"loss": 1.0436,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.1429889298892989,
|
230 |
+
"grad_norm": 2.01098830232536,
|
231 |
+
"learning_rate": 1.9890356987630362e-05,
|
232 |
+
"loss": 1.0206,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.14760147601476015,
|
237 |
+
"grad_norm": 2.0368730493904157,
|
238 |
+
"learning_rate": 1.986528271029931e-05,
|
239 |
+
"loss": 1.0232,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.1522140221402214,
|
244 |
+
"grad_norm": 1.6688489601440277,
|
245 |
+
"learning_rate": 1.9837647898276008e-05,
|
246 |
+
"loss": 1.0236,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.15682656826568267,
|
251 |
+
"grad_norm": 2.0005420507660334,
|
252 |
+
"learning_rate": 1.9807459724177497e-05,
|
253 |
+
"loss": 1.0246,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.16143911439114392,
|
258 |
+
"grad_norm": 1.830621233659763,
|
259 |
+
"learning_rate": 1.977472602334609e-05,
|
260 |
+
"loss": 1.0322,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.16605166051660517,
|
265 |
+
"grad_norm": 2.0747249565016426,
|
266 |
+
"learning_rate": 1.973945529181572e-05,
|
267 |
+
"loss": 1.0356,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.1706642066420664,
|
272 |
+
"grad_norm": 1.8657819252798358,
|
273 |
+
"learning_rate": 1.9701656684106764e-05,
|
274 |
+
"loss": 1.0406,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.1752767527675277,
|
279 |
+
"grad_norm": 1.863882659265557,
|
280 |
+
"learning_rate": 1.9661340010850025e-05,
|
281 |
+
"loss": 1.0295,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.17988929889298894,
|
286 |
+
"grad_norm": 1.907383023598496,
|
287 |
+
"learning_rate": 1.9618515736240353e-05,
|
288 |
+
"loss": 1.0518,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.18450184501845018,
|
293 |
+
"grad_norm": 1.8946641894052252,
|
294 |
+
"learning_rate": 1.9573194975320672e-05,
|
295 |
+
"loss": 1.0382,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.18911439114391143,
|
300 |
+
"grad_norm": 1.8166789629573785,
|
301 |
+
"learning_rate": 1.952538949109708e-05,
|
302 |
+
"loss": 1.0443,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.1937269372693727,
|
307 |
+
"grad_norm": 1.7352343980788758,
|
308 |
+
"learning_rate": 1.9475111691485737e-05,
|
309 |
+
"loss": 1.0217,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.19833948339483395,
|
314 |
+
"grad_norm": 1.6974181401216584,
|
315 |
+
"learning_rate": 1.9422374626092414e-05,
|
316 |
+
"loss": 1.0305,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.2029520295202952,
|
321 |
+
"grad_norm": 1.5750696152336092,
|
322 |
+
"learning_rate": 1.936719198282545e-05,
|
323 |
+
"loss": 1.0293,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.20756457564575645,
|
328 |
+
"grad_norm": 1.623225736738918,
|
329 |
+
"learning_rate": 1.930957808434307e-05,
|
330 |
+
"loss": 1.0269,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.21217712177121772,
|
335 |
+
"grad_norm": 1.631576712487477,
|
336 |
+
"learning_rate": 1.9249547884335917e-05,
|
337 |
+
"loss": 1.0305,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.21678966789667897,
|
342 |
+
"grad_norm": 1.7005295416853186,
|
343 |
+
"learning_rate": 1.9187116963645845e-05,
|
344 |
+
"loss": 1.0356,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.22140221402214022,
|
349 |
+
"grad_norm": 1.7890847993052705,
|
350 |
+
"learning_rate": 1.912230152622189e-05,
|
351 |
+
"loss": 1.033,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.22601476014760147,
|
356 |
+
"grad_norm": 1.7968201186150952,
|
357 |
+
"learning_rate": 1.9055118394914545e-05,
|
358 |
+
"loss": 1.0367,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.23062730627306274,
|
363 |
+
"grad_norm": 1.5783711589062268,
|
364 |
+
"learning_rate": 1.898558500710939e-05,
|
365 |
+
"loss": 1.0329,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.235239852398524,
|
370 |
+
"grad_norm": 1.7821446933403304,
|
371 |
+
"learning_rate": 1.891371941020121e-05,
|
372 |
+
"loss": 1.0538,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.23985239852398524,
|
377 |
+
"grad_norm": 1.7571850494815153,
|
378 |
+
"learning_rate": 1.88395402569098e-05,
|
379 |
+
"loss": 1.0172,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.2444649446494465,
|
384 |
+
"grad_norm": 1.6777787820198717,
|
385 |
+
"learning_rate": 1.8763066800438638e-05,
|
386 |
+
"loss": 1.0262,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.24907749077490776,
|
391 |
+
"grad_norm": 1.7754650640017842,
|
392 |
+
"learning_rate": 1.868431888947773e-05,
|
393 |
+
"loss": 1.0378,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.253690036900369,
|
398 |
+
"grad_norm": 1.6204893672219858,
|
399 |
+
"learning_rate": 1.860331696305188e-05,
|
400 |
+
"loss": 1.0272,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.25830258302583026,
|
405 |
+
"grad_norm": 1.6082347328850755,
|
406 |
+
"learning_rate": 1.852008204521572e-05,
|
407 |
+
"loss": 1.0199,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.2629151291512915,
|
412 |
+
"grad_norm": 1.5512676811150408,
|
413 |
+
"learning_rate": 1.8434635739596945e-05,
|
414 |
+
"loss": 1.0365,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.26752767527675275,
|
419 |
+
"grad_norm": 1.7967133178474277,
|
420 |
+
"learning_rate": 1.834700022378907e-05,
|
421 |
+
"loss": 1.0541,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.272140221402214,
|
426 |
+
"grad_norm": 1.6009722961453385,
|
427 |
+
"learning_rate": 1.825719824359524e-05,
|
428 |
+
"loss": 1.0399,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.2767527675276753,
|
433 |
+
"grad_norm": 1.549904165894849,
|
434 |
+
"learning_rate": 1.816525310712456e-05,
|
435 |
+
"loss": 1.0096,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.28136531365313655,
|
440 |
+
"grad_norm": 1.515466383587945,
|
441 |
+
"learning_rate": 1.8071188678742457e-05,
|
442 |
+
"loss": 1.0166,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2859778597785978,
|
447 |
+
"grad_norm": 1.5677132403955465,
|
448 |
+
"learning_rate": 1.7975029372876706e-05,
|
449 |
+
"loss": 1.0209,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.29059040590405905,
|
454 |
+
"grad_norm": 1.542178919337743,
|
455 |
+
"learning_rate": 1.787680014768065e-05,
|
456 |
+
"loss": 1.0434,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.2952029520295203,
|
461 |
+
"grad_norm": 1.6414967467646593,
|
462 |
+
"learning_rate": 1.777652649855531e-05,
|
463 |
+
"loss": 1.0184,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.29981549815498154,
|
468 |
+
"grad_norm": 1.6372383463858382,
|
469 |
+
"learning_rate": 1.7674234451532065e-05,
|
470 |
+
"loss": 1.0317,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.3044280442804428,
|
475 |
+
"grad_norm": 1.650440536079242,
|
476 |
+
"learning_rate": 1.7569950556517566e-05,
|
477 |
+
"loss": 1.052,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.30904059040590404,
|
482 |
+
"grad_norm": 1.553654913479007,
|
483 |
+
"learning_rate": 1.7463701880402738e-05,
|
484 |
+
"loss": 1.0205,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.31365313653136534,
|
489 |
+
"grad_norm": 1.6079774780306095,
|
490 |
+
"learning_rate": 1.7355516000037555e-05,
|
491 |
+
"loss": 1.0289,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.3182656826568266,
|
496 |
+
"grad_norm": 1.6788267575243834,
|
497 |
+
"learning_rate": 1.7245420995073453e-05,
|
498 |
+
"loss": 1.0452,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.32287822878228783,
|
503 |
+
"grad_norm": 1.5790256320964164,
|
504 |
+
"learning_rate": 1.7133445440675268e-05,
|
505 |
+
"loss": 1.028,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.3274907749077491,
|
510 |
+
"grad_norm": 1.5621840814508567,
|
511 |
+
"learning_rate": 1.7019618400104572e-05,
|
512 |
+
"loss": 1.0262,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.33210332103321033,
|
517 |
+
"grad_norm": 1.519849047216207,
|
518 |
+
"learning_rate": 1.6903969417176244e-05,
|
519 |
+
"loss": 1.0183,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.3367158671586716,
|
524 |
+
"grad_norm": 1.5037917545786645,
|
525 |
+
"learning_rate": 1.6786528508590436e-05,
|
526 |
+
"loss": 1.0334,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.3413284132841328,
|
531 |
+
"grad_norm": 1.750901636962616,
|
532 |
+
"learning_rate": 1.666732615614169e-05,
|
533 |
+
"loss": 1.0198,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3459409594095941,
|
538 |
+
"grad_norm": 1.4681811166568075,
|
539 |
+
"learning_rate": 1.6546393298807405e-05,
|
540 |
+
"loss": 1.0181,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.3505535055350554,
|
545 |
+
"grad_norm": 1.9552415843064699,
|
546 |
+
"learning_rate": 1.6423761324717636e-05,
|
547 |
+
"loss": 1.0237,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.3551660516605166,
|
552 |
+
"grad_norm": 1.5359322834804126,
|
553 |
+
"learning_rate": 1.6299462063008272e-05,
|
554 |
+
"loss": 1.0164,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.35977859778597787,
|
559 |
+
"grad_norm": 1.538202612072466,
|
560 |
+
"learning_rate": 1.61735277755598e-05,
|
561 |
+
"loss": 1.0236,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.3643911439114391,
|
566 |
+
"grad_norm": 1.8749904513501805,
|
567 |
+
"learning_rate": 1.6045991148623752e-05,
|
568 |
+
"loss": 1.0168,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.36900369003690037,
|
573 |
+
"grad_norm": 1.4674737229917856,
|
574 |
+
"learning_rate": 1.5916885284338937e-05,
|
575 |
+
"loss": 1.0042,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.3736162361623616,
|
580 |
+
"grad_norm": 1.4565983698821008,
|
581 |
+
"learning_rate": 1.5786243692139826e-05,
|
582 |
+
"loss": 1.0269,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.37822878228782286,
|
587 |
+
"grad_norm": 1.5930896810188973,
|
588 |
+
"learning_rate": 1.5654100280059155e-05,
|
589 |
+
"loss": 1.0039,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3828413284132841,
|
594 |
+
"grad_norm": 1.4721927126588246,
|
595 |
+
"learning_rate": 1.5520489345927095e-05,
|
596 |
+
"loss": 1.0036,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3874538745387454,
|
601 |
+
"grad_norm": 1.5395462162350828,
|
602 |
+
"learning_rate": 1.538544556846925e-05,
|
603 |
+
"loss": 1.0253,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.39206642066420666,
|
608 |
+
"grad_norm": 1.4973959788085256,
|
609 |
+
"learning_rate": 1.5249003998305787e-05,
|
610 |
+
"loss": 1.0142,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.3966789667896679,
|
615 |
+
"grad_norm": 1.6021819916230071,
|
616 |
+
"learning_rate": 1.5111200048854055e-05,
|
617 |
+
"loss": 1.0203,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.40129151291512916,
|
622 |
+
"grad_norm": 1.5164653354921802,
|
623 |
+
"learning_rate": 1.4972069487137024e-05,
|
624 |
+
"loss": 1.0097,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.4059040590405904,
|
629 |
+
"grad_norm": 1.6120537324024575,
|
630 |
+
"learning_rate": 1.4831648424499953e-05,
|
631 |
+
"loss": 1.0156,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.41051660516605165,
|
636 |
+
"grad_norm": 1.4054842646806989,
|
637 |
+
"learning_rate": 1.4689973307237687e-05,
|
638 |
+
"loss": 1.0282,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.4151291512915129,
|
643 |
+
"grad_norm": 1.4671822665223906,
|
644 |
+
"learning_rate": 1.4547080907135024e-05,
|
645 |
+
"loss": 1.0125,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.41974169741697415,
|
650 |
+
"grad_norm": 1.464262893049375,
|
651 |
+
"learning_rate": 1.4403008311922593e-05,
|
652 |
+
"loss": 1.0106,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.42435424354243545,
|
657 |
+
"grad_norm": 1.443587186675441,
|
658 |
+
"learning_rate": 1.4257792915650728e-05,
|
659 |
+
"loss": 1.013,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.4289667896678967,
|
664 |
+
"grad_norm": 1.3761731833498907,
|
665 |
+
"learning_rate": 1.4111472408983843e-05,
|
666 |
+
"loss": 1.0073,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.43357933579335795,
|
671 |
+
"grad_norm": 1.529603561908737,
|
672 |
+
"learning_rate": 1.3964084769417823e-05,
|
673 |
+
"loss": 1.0296,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.4381918819188192,
|
678 |
+
"grad_norm": 1.6733724515060537,
|
679 |
+
"learning_rate": 1.3815668251422953e-05,
|
680 |
+
"loss": 0.9951,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.44280442804428044,
|
685 |
+
"grad_norm": 1.4450871420978533,
|
686 |
+
"learning_rate": 1.3666261376514978e-05,
|
687 |
+
"loss": 0.9927,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.4474169741697417,
|
692 |
+
"grad_norm": 1.4561810147046073,
|
693 |
+
"learning_rate": 1.3515902923256832e-05,
|
694 |
+
"loss": 1.0082,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.45202952029520294,
|
699 |
+
"grad_norm": 1.5238257427571544,
|
700 |
+
"learning_rate": 1.3364631917193671e-05,
|
701 |
+
"loss": 1.0025,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.4566420664206642,
|
706 |
+
"grad_norm": 1.5528476103643793,
|
707 |
+
"learning_rate": 1.321248762072377e-05,
|
708 |
+
"loss": 1.0031,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.4612546125461255,
|
713 |
+
"grad_norm": 1.4687610879413946,
|
714 |
+
"learning_rate": 1.3059509522907998e-05,
|
715 |
+
"loss": 0.9982,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.46586715867158673,
|
720 |
+
"grad_norm": 1.4093011733734708,
|
721 |
+
"learning_rate": 1.2905737329220394e-05,
|
722 |
+
"loss": 0.9966,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.470479704797048,
|
727 |
+
"grad_norm": 1.44715856596638,
|
728 |
+
"learning_rate": 1.2751210951242636e-05,
|
729 |
+
"loss": 1.0052,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.47509225092250923,
|
734 |
+
"grad_norm": 1.3996570148561756,
|
735 |
+
"learning_rate": 1.2595970496304975e-05,
|
736 |
+
"loss": 0.9942,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.4797047970479705,
|
741 |
+
"grad_norm": 1.4325383073010012,
|
742 |
+
"learning_rate": 1.2440056257076376e-05,
|
743 |
+
"loss": 1.0081,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.4843173431734317,
|
748 |
+
"grad_norm": 1.4383492965547426,
|
749 |
+
"learning_rate": 1.2283508701106559e-05,
|
750 |
+
"loss": 0.9788,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.488929889298893,
|
755 |
+
"grad_norm": 1.4099081664313255,
|
756 |
+
"learning_rate": 1.2126368460322637e-05,
|
757 |
+
"loss": 1.0083,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.4935424354243542,
|
762 |
+
"grad_norm": 1.3412375300770663,
|
763 |
+
"learning_rate": 1.1968676320483103e-05,
|
764 |
+
"loss": 0.9684,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.4981549815498155,
|
769 |
+
"grad_norm": 1.4515358137974845,
|
770 |
+
"learning_rate": 1.1810473210591882e-05,
|
771 |
+
"loss": 0.9852,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.5027675276752768,
|
776 |
+
"grad_norm": 1.4597275022169718,
|
777 |
+
"learning_rate": 1.1651800192275197e-05,
|
778 |
+
"loss": 0.9793,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.507380073800738,
|
783 |
+
"grad_norm": 1.3868232464146542,
|
784 |
+
"learning_rate": 1.1492698449124042e-05,
|
785 |
+
"loss": 0.9907,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.5119926199261993,
|
790 |
+
"grad_norm": 1.4023901770546143,
|
791 |
+
"learning_rate": 1.1333209276004959e-05,
|
792 |
+
"loss": 0.9967,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.5166051660516605,
|
797 |
+
"grad_norm": 1.403043028756451,
|
798 |
+
"learning_rate": 1.1173374068341962e-05,
|
799 |
+
"loss": 1.0058,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.5212177121771218,
|
804 |
+
"grad_norm": 1.5463650175486758,
|
805 |
+
"learning_rate": 1.1013234311372353e-05,
|
806 |
+
"loss": 0.9843,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.525830258302583,
|
811 |
+
"grad_norm": 1.566717033090475,
|
812 |
+
"learning_rate": 1.0852831569379217e-05,
|
813 |
+
"loss": 0.9911,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.5304428044280443,
|
818 |
+
"grad_norm": 1.4828461511508186,
|
819 |
+
"learning_rate": 1.0692207474903421e-05,
|
820 |
+
"loss": 0.9909,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.5350553505535055,
|
825 |
+
"grad_norm": 2.8521203782189253,
|
826 |
+
"learning_rate": 1.0531403717937888e-05,
|
827 |
+
"loss": 0.9927,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.5396678966789668,
|
832 |
+
"grad_norm": 1.512595456828133,
|
833 |
+
"learning_rate": 1.037046203510694e-05,
|
834 |
+
"loss": 0.979,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.544280442804428,
|
839 |
+
"grad_norm": 1.5368674133781381,
|
840 |
+
"learning_rate": 1.0209424198833571e-05,
|
841 |
+
"loss": 0.9877,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.5488929889298892,
|
846 |
+
"grad_norm": 1.6413121795161139,
|
847 |
+
"learning_rate": 1.0048332006497406e-05,
|
848 |
+
"loss": 0.9954,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.5535055350553506,
|
853 |
+
"grad_norm": 1.4636611051453832,
|
854 |
+
"learning_rate": 9.887227269586184e-06,
|
855 |
+
"loss": 0.9801,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.5581180811808119,
|
860 |
+
"grad_norm": 1.4876078711300504,
|
861 |
+
"learning_rate": 9.7261518028436e-06,
|
862 |
+
"loss": 0.9896,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.5627306273062731,
|
867 |
+
"grad_norm": 1.4565652096222934,
|
868 |
+
"learning_rate": 9.565147413416266e-06,
|
869 |
+
"loss": 0.9782,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.5673431734317343,
|
874 |
+
"grad_norm": 1.3376736240483553,
|
875 |
+
"learning_rate": 9.404255890002677e-06,
|
876 |
+
"loss": 0.996,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.5719557195571956,
|
881 |
+
"grad_norm": 1.266054229637192,
|
882 |
+
"learning_rate": 9.243518992006944e-06,
|
883 |
+
"loss": 0.974,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.5765682656826568,
|
888 |
+
"grad_norm": 1.3235752371132756,
|
889 |
+
"learning_rate": 9.082978438700138e-06,
|
890 |
+
"loss": 0.9679,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.5811808118081181,
|
895 |
+
"grad_norm": 1.4334968823366236,
|
896 |
+
"learning_rate": 8.922675898392072e-06,
|
897 |
+
"loss": 0.9666,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.5857933579335793,
|
902 |
+
"grad_norm": 1.373620518219274,
|
903 |
+
"learning_rate": 8.762652977616258e-06,
|
904 |
+
"loss": 0.9862,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.5904059040590406,
|
909 |
+
"grad_norm": 1.4317910304850499,
|
910 |
+
"learning_rate": 8.602951210330942e-06,
|
911 |
+
"loss": 0.9662,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.5950184501845018,
|
916 |
+
"grad_norm": 1.3805470019673511,
|
917 |
+
"learning_rate": 8.443612047138965e-06,
|
918 |
+
"loss": 0.9836,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.5996309963099631,
|
923 |
+
"grad_norm": 1.4344389139852456,
|
924 |
+
"learning_rate": 8.284676844529258e-06,
|
925 |
+
"loss": 0.9458,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.6042435424354243,
|
930 |
+
"grad_norm": 1.2923675142084592,
|
931 |
+
"learning_rate": 8.126186854142752e-06,
|
932 |
+
"loss": 0.953,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.6088560885608856,
|
937 |
+
"grad_norm": 1.3520769915175057,
|
938 |
+
"learning_rate": 7.968183212065537e-06,
|
939 |
+
"loss": 0.965,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.6134686346863468,
|
944 |
+
"grad_norm": 1.3540469095893106,
|
945 |
+
"learning_rate": 7.81070692815195e-06,
|
946 |
+
"loss": 0.962,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.6180811808118081,
|
951 |
+
"grad_norm": 1.4140291089073116,
|
952 |
+
"learning_rate": 7.6537988753805e-06,
|
953 |
+
"loss": 0.9566,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.6226937269372693,
|
958 |
+
"grad_norm": 1.3299616725752847,
|
959 |
+
"learning_rate": 7.497499779245268e-06,
|
960 |
+
"loss": 0.965,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.6273062730627307,
|
965 |
+
"grad_norm": 1.3769480821952969,
|
966 |
+
"learning_rate": 7.3418502071856004e-06,
|
967 |
+
"loss": 0.9736,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.6319188191881919,
|
972 |
+
"grad_norm": 1.3550016015001538,
|
973 |
+
"learning_rate": 7.186890558056836e-06,
|
974 |
+
"loss": 0.9528,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.6365313653136532,
|
979 |
+
"grad_norm": 1.4444985355599935,
|
980 |
+
"learning_rate": 7.0326610516447825e-06,
|
981 |
+
"loss": 0.9518,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.6411439114391144,
|
986 |
+
"grad_norm": 1.3752886192742222,
|
987 |
+
"learning_rate": 6.879201718226658e-06,
|
988 |
+
"loss": 0.9437,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.6457564575645757,
|
993 |
+
"grad_norm": 1.2728918848531818,
|
994 |
+
"learning_rate": 6.7265523881812335e-06,
|
995 |
+
"loss": 0.9564,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.6503690036900369,
|
1000 |
+
"grad_norm": 1.2776578000630632,
|
1001 |
+
"learning_rate": 6.574752681650864e-06,
|
1002 |
+
"loss": 0.9431,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.6549815498154982,
|
1007 |
+
"grad_norm": 1.2934037917676169,
|
1008 |
+
"learning_rate": 6.423841998258069e-06,
|
1009 |
+
"loss": 0.9491,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.6595940959409594,
|
1014 |
+
"grad_norm": 1.3237574013597018,
|
1015 |
+
"learning_rate": 6.273859506879365e-06,
|
1016 |
+
"loss": 0.9681,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.6642066420664207,
|
1021 |
+
"grad_norm": 1.3217921823273022,
|
1022 |
+
"learning_rate": 6.124844135478971e-06,
|
1023 |
+
"loss": 0.9649,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.6688191881918819,
|
1028 |
+
"grad_norm": 1.2737386646079398,
|
1029 |
+
"learning_rate": 5.976834561005069e-06,
|
1030 |
+
"loss": 0.9606,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.6734317343173432,
|
1035 |
+
"grad_norm": 1.3636332749577897,
|
1036 |
+
"learning_rate": 5.829869199351188e-06,
|
1037 |
+
"loss": 0.9491,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.6780442804428044,
|
1042 |
+
"grad_norm": 1.308891744452198,
|
1043 |
+
"learning_rate": 5.68398619538536e-06,
|
1044 |
+
"loss": 0.9431,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6826568265682657,
|
1049 |
+
"grad_norm": 1.3623472799172087,
|
1050 |
+
"learning_rate": 5.53922341304961e-06,
|
1051 |
+
"loss": 0.938,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.6872693726937269,
|
1056 |
+
"grad_norm": 1.3779395937417078,
|
1057 |
+
"learning_rate": 5.39561842553239e-06,
|
1058 |
+
"loss": 0.9765,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.6918819188191881,
|
1063 |
+
"grad_norm": 1.314594616549353,
|
1064 |
+
"learning_rate": 5.2532085055164205e-06,
|
1065 |
+
"loss": 0.9495,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.6964944649446494,
|
1070 |
+
"grad_norm": 1.2958945545107472,
|
1071 |
+
"learning_rate": 5.112030615504601e-06,
|
1072 |
+
"loss": 0.9526,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.7011070110701108,
|
1077 |
+
"grad_norm": 1.268037176857953,
|
1078 |
+
"learning_rate": 4.972121398226371e-06,
|
1079 |
+
"loss": 0.9389,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.705719557195572,
|
1084 |
+
"grad_norm": 1.3213967171034264,
|
1085 |
+
"learning_rate": 4.833517167127077e-06,
|
1086 |
+
"loss": 0.9541,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.7103321033210332,
|
1091 |
+
"grad_norm": 1.303739776653261,
|
1092 |
+
"learning_rate": 4.6962538969428416e-06,
|
1093 |
+
"loss": 0.9523,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.7149446494464945,
|
1098 |
+
"grad_norm": 1.2626443878609368,
|
1099 |
+
"learning_rate": 4.560367214363295e-06,
|
1100 |
+
"loss": 0.9463,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.7195571955719557,
|
1105 |
+
"grad_norm": 1.4159625474171884,
|
1106 |
+
"learning_rate": 4.425892388784681e-06,
|
1107 |
+
"loss": 0.9486,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.724169741697417,
|
1112 |
+
"grad_norm": 1.4010891439452202,
|
1113 |
+
"learning_rate": 4.292864323155684e-06,
|
1114 |
+
"loss": 0.9353,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.7287822878228782,
|
1119 |
+
"grad_norm": 1.3287864388096529,
|
1120 |
+
"learning_rate": 4.161317544918345e-06,
|
1121 |
+
"loss": 0.9389,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.7333948339483395,
|
1126 |
+
"grad_norm": 1.306056357380541,
|
1127 |
+
"learning_rate": 4.031286197046493e-06,
|
1128 |
+
"loss": 0.9423,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.7380073800738007,
|
1133 |
+
"grad_norm": 1.3004419319996845,
|
1134 |
+
"learning_rate": 3.902804029183907e-06,
|
1135 |
+
"loss": 0.9448,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.742619926199262,
|
1140 |
+
"grad_norm": 1.3193243689915886,
|
1141 |
+
"learning_rate": 3.775904388884618e-06,
|
1142 |
+
"loss": 0.9427,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.7472324723247232,
|
1147 |
+
"grad_norm": 1.296148330228006,
|
1148 |
+
"learning_rate": 3.650620212957524e-06,
|
1149 |
+
"loss": 0.9412,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.7518450184501845,
|
1154 |
+
"grad_norm": 1.4326318299445335,
|
1155 |
+
"learning_rate": 3.5269840189176616e-06,
|
1156 |
+
"loss": 0.9289,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.7564575645756457,
|
1161 |
+
"grad_norm": 1.3055827977236605,
|
1162 |
+
"learning_rate": 3.405027896546277e-06,
|
1163 |
+
"loss": 0.926,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.761070110701107,
|
1168 |
+
"grad_norm": 1.327865337759123,
|
1169 |
+
"learning_rate": 3.2847834995619067e-06,
|
1170 |
+
"loss": 0.9453,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.7656826568265682,
|
1175 |
+
"grad_norm": 1.2543373923102779,
|
1176 |
+
"learning_rate": 3.1662820374046776e-06,
|
1177 |
+
"loss": 0.9357,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.7702952029520295,
|
1182 |
+
"grad_norm": 1.311192918139976,
|
1183 |
+
"learning_rate": 3.0495542671358745e-06,
|
1184 |
+
"loss": 0.9299,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.7749077490774908,
|
1189 |
+
"grad_norm": 1.3013405217794898,
|
1190 |
+
"learning_rate": 2.934630485454948e-06,
|
1191 |
+
"loss": 0.9363,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.7795202952029521,
|
1196 |
+
"grad_norm": 1.3139133572420352,
|
1197 |
+
"learning_rate": 2.8215405208360237e-06,
|
1198 |
+
"loss": 0.9399,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.7841328413284133,
|
1203 |
+
"grad_norm": 1.325489126281033,
|
1204 |
+
"learning_rate": 2.7103137257858867e-06,
|
1205 |
+
"loss": 0.9359,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.7887453874538746,
|
1210 |
+
"grad_norm": 1.3557387383978536,
|
1211 |
+
"learning_rate": 2.600978969225558e-06,
|
1212 |
+
"loss": 0.9408,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.7933579335793358,
|
1217 |
+
"grad_norm": 1.2968402542167223,
|
1218 |
+
"learning_rate": 2.493564628997369e-06,
|
1219 |
+
"loss": 0.9473,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.7979704797047971,
|
1224 |
+
"grad_norm": 1.307351413531213,
|
1225 |
+
"learning_rate": 2.3880985844994674e-06,
|
1226 |
+
"loss": 0.9288,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.8025830258302583,
|
1231 |
+
"grad_norm": 1.301711812307168,
|
1232 |
+
"learning_rate": 2.284608209449746e-06,
|
1233 |
+
"loss": 0.9367,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.8071955719557196,
|
1238 |
+
"grad_norm": 1.3331160835163591,
|
1239 |
+
"learning_rate": 2.183120364780975e-06,
|
1240 |
+
"loss": 0.9394,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.8118081180811808,
|
1245 |
+
"grad_norm": 1.2683359981117004,
|
1246 |
+
"learning_rate": 2.083661391669043e-06,
|
1247 |
+
"loss": 0.9255,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.816420664206642,
|
1252 |
+
"grad_norm": 1.2993174833270567,
|
1253 |
+
"learning_rate": 1.986257104696121e-06,
|
1254 |
+
"loss": 0.9368,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.8210332103321033,
|
1259 |
+
"grad_norm": 1.3745325636574788,
|
1260 |
+
"learning_rate": 1.8909327851504633e-06,
|
1261 |
+
"loss": 0.9527,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.8256457564575646,
|
1266 |
+
"grad_norm": 1.339181816674666,
|
1267 |
+
"learning_rate": 1.7977131744646724e-06,
|
1268 |
+
"loss": 0.9331,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.8302583025830258,
|
1273 |
+
"grad_norm": 1.327094422276523,
|
1274 |
+
"learning_rate": 1.7066224677940313e-06,
|
1275 |
+
"loss": 0.9437,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.834870848708487,
|
1280 |
+
"grad_norm": 1.2652133382811892,
|
1281 |
+
"learning_rate": 1.6176843077366755e-06,
|
1282 |
+
"loss": 0.9139,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.8394833948339483,
|
1287 |
+
"grad_norm": 1.2892238897012769,
|
1288 |
+
"learning_rate": 1.5309217781971419e-06,
|
1289 |
+
"loss": 0.9135,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.8440959409594095,
|
1294 |
+
"grad_norm": 1.3102845800852012,
|
1295 |
+
"learning_rate": 1.446357398394934e-06,
|
1296 |
+
"loss": 0.923,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.8487084870848709,
|
1301 |
+
"grad_norm": 1.3117325038831478,
|
1302 |
+
"learning_rate": 1.3640131170196758e-06,
|
1303 |
+
"loss": 0.9159,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.8533210332103321,
|
1308 |
+
"grad_norm": 5.1971689200456375,
|
1309 |
+
"learning_rate": 1.2839103065343084e-06,
|
1310 |
+
"loss": 0.9295,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.8579335793357934,
|
1315 |
+
"grad_norm": 1.314904030690533,
|
1316 |
+
"learning_rate": 1.2060697576278812e-06,
|
1317 |
+
"loss": 0.9336,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.8625461254612546,
|
1322 |
+
"grad_norm": 1.2791863891720787,
|
1323 |
+
"learning_rate": 1.1305116738193211e-06,
|
1324 |
+
"loss": 0.9346,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.8671586715867159,
|
1329 |
+
"grad_norm": 1.2890531276807027,
|
1330 |
+
"learning_rate": 1.0572556662136036e-06,
|
1331 |
+
"loss": 0.9302,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.8717712177121771,
|
1336 |
+
"grad_norm": 1.2742267464237356,
|
1337 |
+
"learning_rate": 9.863207484116987e-07,
|
1338 |
+
"loss": 0.9181,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.8763837638376384,
|
1343 |
+
"grad_norm": 1.2644327659379573,
|
1344 |
+
"learning_rate": 9.177253315755796e-07,
|
1345 |
+
"loss": 0.9379,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.8809963099630996,
|
1350 |
+
"grad_norm": 1.2421396307830366,
|
1351 |
+
"learning_rate": 8.514872196496182e-07,
|
1352 |
+
"loss": 0.935,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.8856088560885609,
|
1357 |
+
"grad_norm": 1.2203962112131188,
|
1358 |
+
"learning_rate": 7.876236047395525e-07,
|
1359 |
+
"loss": 0.9264,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.8902214022140221,
|
1364 |
+
"grad_norm": 1.2994699310922848,
|
1365 |
+
"learning_rate": 7.26151062650291e-07,
|
1366 |
+
"loss": 0.934,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.8948339483394834,
|
1371 |
+
"grad_norm": 1.3062465605195615,
|
1372 |
+
"learning_rate": 6.670855485836525e-07,
|
1373 |
+
"loss": 0.9285,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.8994464944649446,
|
1378 |
+
"grad_norm": 1.2690114831578048,
|
1379 |
+
"learning_rate": 6.104423929971948e-07,
|
1380 |
+
"loss": 0.933,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.9040590405904059,
|
1385 |
+
"grad_norm": 1.2785142678323616,
|
1386 |
+
"learning_rate": 5.562362976251901e-07,
|
1387 |
+
"loss": 0.9379,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.9086715867158671,
|
1392 |
+
"grad_norm": 1.2131026491304173,
|
1393 |
+
"learning_rate": 5.044813316627994e-07,
|
1394 |
+
"loss": 0.9276,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.9132841328413284,
|
1399 |
+
"grad_norm": 1.300615964359426,
|
1400 |
+
"learning_rate": 4.5519092811439627e-07,
|
1401 |
+
"loss": 0.9255,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.9178966789667896,
|
1406 |
+
"grad_norm": 1.3050095257612062,
|
1407 |
+
"learning_rate": 4.083778803070504e-07,
|
1408 |
+
"loss": 0.9437,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.922509225092251,
|
1413 |
+
"grad_norm": 1.2410745191815336,
|
1414 |
+
"learning_rate": 3.6405433856999684e-07,
|
1415 |
+
"loss": 0.957,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.9271217712177122,
|
1420 |
+
"grad_norm": 1.3063199127205747,
|
1421 |
+
"learning_rate": 3.2223180708102933e-07,
|
1422 |
+
"loss": 0.9324,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.9317343173431735,
|
1427 |
+
"grad_norm": 1.3222002154954164,
|
1428 |
+
"learning_rate": 2.829211408805932e-07,
|
1429 |
+
"loss": 0.9176,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.9363468634686347,
|
1434 |
+
"grad_norm": 1.2578620181074625,
|
1435 |
+
"learning_rate": 2.461325430543482e-07,
|
1436 |
+
"loss": 0.9322,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.940959409594096,
|
1441 |
+
"grad_norm": 1.2337296124585635,
|
1442 |
+
"learning_rate": 2.1187556208496885e-07,
|
1443 |
+
"loss": 0.9218,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.9455719557195572,
|
1448 |
+
"grad_norm": 1.2291744208349304,
|
1449 |
+
"learning_rate": 1.8015908937382587e-07,
|
1450 |
+
"loss": 0.9331,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.9501845018450185,
|
1455 |
+
"grad_norm": 1.2819268220912796,
|
1456 |
+
"learning_rate": 1.5099135693322776e-07,
|
1457 |
+
"loss": 0.9337,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.9547970479704797,
|
1462 |
+
"grad_norm": 1.2311873702844616,
|
1463 |
+
"learning_rate": 1.2437993524979984e-07,
|
1464 |
+
"loss": 0.9034,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.959409594095941,
|
1469 |
+
"grad_norm": 1.306307352211591,
|
1470 |
+
"learning_rate": 1.0033173131956175e-07,
|
1471 |
+
"loss": 0.9213,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.9640221402214022,
|
1476 |
+
"grad_norm": 1.2302162082382204,
|
1477 |
+
"learning_rate": 7.885298685522235e-08,
|
1478 |
+
"loss": 0.9153,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.9686346863468634,
|
1483 |
+
"grad_norm": 1.2949224700302513,
|
1484 |
+
"learning_rate": 5.99492766661347e-08,
|
1485 |
+
"loss": 0.9207,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.9732472324723247,
|
1490 |
+
"grad_norm": 1.2979324069801879,
|
1491 |
+
"learning_rate": 4.362550721136338e-08,
|
1492 |
+
"loss": 0.9254,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.977859778597786,
|
1497 |
+
"grad_norm": 1.2464202848956238,
|
1498 |
+
"learning_rate": 2.988591532620322e-08,
|
1499 |
+
"loss": 0.9155,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.9824723247232472,
|
1504 |
+
"grad_norm": 1.2826213715670498,
|
1505 |
+
"learning_rate": 1.8734067122514464e-08,
|
1506 |
+
"loss": 0.9229,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.9870848708487084,
|
1511 |
+
"grad_norm": 1.2838870564000777,
|
1512 |
+
"learning_rate": 1.0172857063137643e-08,
|
1513 |
+
"loss": 0.9254,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.9916974169741697,
|
1518 |
+
"grad_norm": 1.2809568528218904,
|
1519 |
+
"learning_rate": 4.204507210633368e-09,
|
1520 |
+
"loss": 0.9466,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.996309963099631,
|
1525 |
+
"grad_norm": 1.2838585438818646,
|
1526 |
+
"learning_rate": 8.30566650548148e-10,
|
1527 |
+
"loss": 0.9403,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 1.0,
|
1532 |
+
"eval_loss": 0.9415282607078552,
|
1533 |
+
"eval_runtime": 141.608,
|
1534 |
+
"eval_samples_per_second": 108.398,
|
1535 |
+
"eval_steps_per_second": 1.695,
|
1536 |
+
"step": 1084
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 1.0,
|
1540 |
+
"step": 1084,
|
1541 |
+
"total_flos": 453935093514240.0,
|
1542 |
+
"train_loss": 0.9830407258329357,
|
1543 |
+
"train_runtime": 11998.8497,
|
1544 |
+
"train_samples_per_second": 11.558,
|
1545 |
+
"train_steps_per_second": 0.09
|
1546 |
+
}
|
1547 |
+
],
|
1548 |
+
"logging_steps": 5,
|
1549 |
+
"max_steps": 1084,
|
1550 |
+
"num_input_tokens_seen": 0,
|
1551 |
+
"num_train_epochs": 1,
|
1552 |
+
"save_steps": 100,
|
1553 |
+
"stateful_callbacks": {
|
1554 |
+
"TrainerControl": {
|
1555 |
+
"args": {
|
1556 |
+
"should_epoch_stop": false,
|
1557 |
+
"should_evaluate": false,
|
1558 |
+
"should_log": false,
|
1559 |
+
"should_save": true,
|
1560 |
+
"should_training_stop": true
|
1561 |
+
},
|
1562 |
+
"attributes": {}
|
1563 |
+
}
|
1564 |
+
},
|
1565 |
+
"total_flos": 453935093514240.0,
|
1566 |
+
"train_batch_size": 16,
|
1567 |
+
"trial_name": null,
|
1568 |
+
"trial_params": null
|
1569 |
+
}
|