scottsuk0306
commited on
Commit
•
f17a09c
1
Parent(s):
98878b5
Model save
Browse files- README.md +68 -0
- all_results.json +9 -0
- generation_config.json +8 -0
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- train_results.json +9 -0
- trainer_state.json +2533 -0
README.md
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: gemma
|
3 |
+
base_model: google/gemma-2-2b
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: easylm-helpsteer-sft-gemma-2-2b
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# easylm-helpsteer-sft-gemma-2-2b
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.1501
|
21 |
+
|
22 |
+
## Model description
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Intended uses & limitations
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training and evaluation data
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training procedure
|
35 |
+
|
36 |
+
### Training hyperparameters
|
37 |
+
|
38 |
+
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 3e-06
|
40 |
+
- train_batch_size: 1
|
41 |
+
- eval_batch_size: 1
|
42 |
+
- seed: 42
|
43 |
+
- distributed_type: multi-GPU
|
44 |
+
- num_devices: 4
|
45 |
+
- total_train_batch_size: 4
|
46 |
+
- total_eval_batch_size: 4
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- num_epochs: 2
|
50 |
+
|
51 |
+
### Training results
|
52 |
+
|
53 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
54 |
+
|:-------------:|:------:|:----:|:---------------:|
|
55 |
+
| 1.1281 | 0.2864 | 500 | 1.1230 |
|
56 |
+
| 1.183 | 0.5727 | 1000 | 1.1017 |
|
57 |
+
| 1.1009 | 0.8591 | 1500 | 1.0869 |
|
58 |
+
| 0.6901 | 1.1455 | 2000 | 1.1486 |
|
59 |
+
| 0.7377 | 1.4318 | 2500 | 1.1488 |
|
60 |
+
| 0.6947 | 1.7182 | 3000 | 1.1501 |
|
61 |
+
|
62 |
+
|
63 |
+
### Framework versions
|
64 |
+
|
65 |
+
- Transformers 4.43.3
|
66 |
+
- Pytorch 2.3.0+cu121
|
67 |
+
- Datasets 2.20.0
|
68 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"total_flos": 8.351047625159475e+16,
|
4 |
+
"train_loss": 0.9289274918937465,
|
5 |
+
"train_runtime": 3314.9598,
|
6 |
+
"train_samples": 6981,
|
7 |
+
"train_samples_per_second": 4.212,
|
8 |
+
"train_steps_per_second": 1.053
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 2,
|
4 |
+
"cache_implementation": "hybrid",
|
5 |
+
"eos_token_id": 1,
|
6 |
+
"pad_token_id": 0,
|
7 |
+
"transformers_version": "4.43.3"
|
8 |
+
}
|
model-00001-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4988025760
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a7d265a5e05ac710dcf02ecd058e8efdcb6c973ac5c947d4d8349a3cf39b702
|
3 |
size 4988025760
|
model-00002-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1420339880
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7f20aad536787818e15aa114ffc2bd29391c95d69086797b833de0c57b4d4e6f
|
3 |
size 1420339880
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"total_flos": 8.351047625159475e+16,
|
4 |
+
"train_loss": 0.9289274918937465,
|
5 |
+
"train_runtime": 3314.9598,
|
6 |
+
"train_samples": 6981,
|
7 |
+
"train_samples_per_second": 4.212,
|
8 |
+
"train_steps_per_second": 1.053
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2533 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3492,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0057273768613974796,
|
13 |
+
"grad_norm": 16.379655838012695,
|
14 |
+
"learning_rate": 2.9999392970762296e-06,
|
15 |
+
"loss": 1.5958,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.011454753722794959,
|
20 |
+
"grad_norm": 13.56667423248291,
|
21 |
+
"learning_rate": 2.999757193218044e-06,
|
22 |
+
"loss": 1.3928,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01718213058419244,
|
27 |
+
"grad_norm": 10.130936622619629,
|
28 |
+
"learning_rate": 2.999453703164426e-06,
|
29 |
+
"loss": 1.2605,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.022909507445589918,
|
34 |
+
"grad_norm": 10.301068305969238,
|
35 |
+
"learning_rate": 2.9990288514790206e-06,
|
36 |
+
"loss": 1.3193,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0286368843069874,
|
41 |
+
"grad_norm": 8.71345043182373,
|
42 |
+
"learning_rate": 2.9984826725481468e-06,
|
43 |
+
"loss": 1.1754,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03436426116838488,
|
48 |
+
"grad_norm": 12.313104629516602,
|
49 |
+
"learning_rate": 2.9978152105780155e-06,
|
50 |
+
"loss": 1.3135,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.04009163802978236,
|
55 |
+
"grad_norm": 12.800464630126953,
|
56 |
+
"learning_rate": 2.9970265195911502e-06,
|
57 |
+
"loss": 1.2516,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.045819014891179836,
|
62 |
+
"grad_norm": 10.99730396270752,
|
63 |
+
"learning_rate": 2.9961166634220168e-06,
|
64 |
+
"loss": 1.203,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.05154639175257732,
|
69 |
+
"grad_norm": 13.54122257232666,
|
70 |
+
"learning_rate": 2.9950857157118544e-06,
|
71 |
+
"loss": 1.2237,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.0572737686139748,
|
76 |
+
"grad_norm": 12.151561737060547,
|
77 |
+
"learning_rate": 2.9939337599027165e-06,
|
78 |
+
"loss": 1.2715,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.06300114547537228,
|
83 |
+
"grad_norm": 19.66217803955078,
|
84 |
+
"learning_rate": 2.992660889230718e-06,
|
85 |
+
"loss": 1.2601,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.06872852233676977,
|
90 |
+
"grad_norm": 9.985322952270508,
|
91 |
+
"learning_rate": 2.9912672067184863e-06,
|
92 |
+
"loss": 1.1591,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.07445589919816724,
|
97 |
+
"grad_norm": 10.843229293823242,
|
98 |
+
"learning_rate": 2.9897528251668274e-06,
|
99 |
+
"loss": 1.1064,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.08018327605956473,
|
104 |
+
"grad_norm": 13.866814613342285,
|
105 |
+
"learning_rate": 2.9881178671455905e-06,
|
106 |
+
"loss": 1.1918,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.0859106529209622,
|
111 |
+
"grad_norm": 13.748754501342773,
|
112 |
+
"learning_rate": 2.9863624649837522e-06,
|
113 |
+
"loss": 1.2726,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.09163802978235967,
|
118 |
+
"grad_norm": 9.494117736816406,
|
119 |
+
"learning_rate": 2.9844867607587037e-06,
|
120 |
+
"loss": 1.1832,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.09736540664375716,
|
125 |
+
"grad_norm": 9.150392532348633,
|
126 |
+
"learning_rate": 2.982490906284753e-06,
|
127 |
+
"loss": 1.1274,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.10309278350515463,
|
132 |
+
"grad_norm": 11.971685409545898,
|
133 |
+
"learning_rate": 2.980375063100836e-06,
|
134 |
+
"loss": 1.1399,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.10882016036655212,
|
139 |
+
"grad_norm": 8.963068962097168,
|
140 |
+
"learning_rate": 2.9781394024574426e-06,
|
141 |
+
"loss": 1.1726,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.1145475372279496,
|
146 |
+
"grad_norm": 9.128679275512695,
|
147 |
+
"learning_rate": 2.975784105302756e-06,
|
148 |
+
"loss": 1.1972,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.12027491408934708,
|
153 |
+
"grad_norm": 12.733792304992676,
|
154 |
+
"learning_rate": 2.973309362268008e-06,
|
155 |
+
"loss": 1.1732,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.12600229095074456,
|
160 |
+
"grad_norm": 10.524323463439941,
|
161 |
+
"learning_rate": 2.970715373652049e-06,
|
162 |
+
"loss": 1.2613,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.13172966781214204,
|
167 |
+
"grad_norm": 7.896759510040283,
|
168 |
+
"learning_rate": 2.9680023494051364e-06,
|
169 |
+
"loss": 1.1437,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.13745704467353953,
|
174 |
+
"grad_norm": 7.099399089813232,
|
175 |
+
"learning_rate": 2.9651705091119422e-06,
|
176 |
+
"loss": 1.0787,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.143184421534937,
|
181 |
+
"grad_norm": 9.507390975952148,
|
182 |
+
"learning_rate": 2.962220081973781e-06,
|
183 |
+
"loss": 1.0828,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.14891179839633448,
|
188 |
+
"grad_norm": 10.189469337463379,
|
189 |
+
"learning_rate": 2.959151306790057e-06,
|
190 |
+
"loss": 1.1324,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.15463917525773196,
|
195 |
+
"grad_norm": 10.902261734008789,
|
196 |
+
"learning_rate": 2.955964431938939e-06,
|
197 |
+
"loss": 1.2347,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.16036655211912945,
|
202 |
+
"grad_norm": 10.873947143554688,
|
203 |
+
"learning_rate": 2.952659715357254e-06,
|
204 |
+
"loss": 1.1749,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.1660939289805269,
|
209 |
+
"grad_norm": 8.8741455078125,
|
210 |
+
"learning_rate": 2.9492374245196148e-06,
|
211 |
+
"loss": 1.2453,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.1718213058419244,
|
216 |
+
"grad_norm": 9.256343841552734,
|
217 |
+
"learning_rate": 2.9456978364167667e-06,
|
218 |
+
"loss": 1.2202,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1775486827033219,
|
223 |
+
"grad_norm": 13.664665222167969,
|
224 |
+
"learning_rate": 2.9420412375331737e-06,
|
225 |
+
"loss": 1.1165,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.18327605956471935,
|
230 |
+
"grad_norm": 12.664402961730957,
|
231 |
+
"learning_rate": 2.938267923823825e-06,
|
232 |
+
"loss": 1.1933,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.18900343642611683,
|
237 |
+
"grad_norm": 10.518999099731445,
|
238 |
+
"learning_rate": 2.934378200690288e-06,
|
239 |
+
"loss": 1.1306,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.19473081328751432,
|
244 |
+
"grad_norm": 11.800782203674316,
|
245 |
+
"learning_rate": 2.9303723829559846e-06,
|
246 |
+
"loss": 1.1013,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.2004581901489118,
|
251 |
+
"grad_norm": 13.071691513061523,
|
252 |
+
"learning_rate": 2.9262507948407135e-06,
|
253 |
+
"loss": 1.2304,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.20618556701030927,
|
258 |
+
"grad_norm": 9.5667142868042,
|
259 |
+
"learning_rate": 2.9220137699344057e-06,
|
260 |
+
"loss": 1.1543,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.21191294387170675,
|
265 |
+
"grad_norm": 11.27755069732666,
|
266 |
+
"learning_rate": 2.917661651170129e-06,
|
267 |
+
"loss": 1.1647,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.21764032073310424,
|
272 |
+
"grad_norm": 12.141744613647461,
|
273 |
+
"learning_rate": 2.913194790796327e-06,
|
274 |
+
"loss": 1.1378,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.22336769759450173,
|
279 |
+
"grad_norm": 14.818400382995605,
|
280 |
+
"learning_rate": 2.9086135503483137e-06,
|
281 |
+
"loss": 1.1353,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.2290950744558992,
|
286 |
+
"grad_norm": 10.42490005493164,
|
287 |
+
"learning_rate": 2.903918300619008e-06,
|
288 |
+
"loss": 1.2457,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.23482245131729668,
|
293 |
+
"grad_norm": 11.577737808227539,
|
294 |
+
"learning_rate": 2.8991094216289254e-06,
|
295 |
+
"loss": 1.1824,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.24054982817869416,
|
300 |
+
"grad_norm": 9.93144416809082,
|
301 |
+
"learning_rate": 2.8941873025954193e-06,
|
302 |
+
"loss": 1.2134,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.24627720504009165,
|
307 |
+
"grad_norm": 8.588950157165527,
|
308 |
+
"learning_rate": 2.8891523419011774e-06,
|
309 |
+
"loss": 1.2043,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.2520045819014891,
|
314 |
+
"grad_norm": 9.073149681091309,
|
315 |
+
"learning_rate": 2.884004947061981e-06,
|
316 |
+
"loss": 1.2291,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.25773195876288657,
|
321 |
+
"grad_norm": 7.688851833343506,
|
322 |
+
"learning_rate": 2.8787455346937186e-06,
|
323 |
+
"loss": 1.2401,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.2634593356242841,
|
328 |
+
"grad_norm": 10.9544677734375,
|
329 |
+
"learning_rate": 2.873374530478667e-06,
|
330 |
+
"loss": 1.2467,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.26918671248568155,
|
335 |
+
"grad_norm": 9.605713844299316,
|
336 |
+
"learning_rate": 2.8678923691310392e-06,
|
337 |
+
"loss": 1.1678,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.27491408934707906,
|
342 |
+
"grad_norm": 11.065582275390625,
|
343 |
+
"learning_rate": 2.8622994943617984e-06,
|
344 |
+
"loss": 1.1364,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.2806414662084765,
|
349 |
+
"grad_norm": 9.69209098815918,
|
350 |
+
"learning_rate": 2.8565963588427457e-06,
|
351 |
+
"loss": 1.0762,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.286368843069874,
|
356 |
+
"grad_norm": 10.874582290649414,
|
357 |
+
"learning_rate": 2.8507834241698817e-06,
|
358 |
+
"loss": 1.1281,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.286368843069874,
|
363 |
+
"eval_loss": 1.1230082511901855,
|
364 |
+
"eval_runtime": 5.3115,
|
365 |
+
"eval_samples_per_second": 67.778,
|
366 |
+
"eval_steps_per_second": 16.944,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.2920962199312715,
|
371 |
+
"grad_norm": 16.209104537963867,
|
372 |
+
"learning_rate": 2.844861160826047e-06,
|
373 |
+
"loss": 1.158,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.29782359679266895,
|
378 |
+
"grad_norm": 11.166873931884766,
|
379 |
+
"learning_rate": 2.8388300481428423e-06,
|
380 |
+
"loss": 1.0916,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.3035509736540664,
|
385 |
+
"grad_norm": 11.725543022155762,
|
386 |
+
"learning_rate": 2.8326905742618318e-06,
|
387 |
+
"loss": 1.2,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.30927835051546393,
|
392 |
+
"grad_norm": 10.414682388305664,
|
393 |
+
"learning_rate": 2.8264432360950353e-06,
|
394 |
+
"loss": 1.1615,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.3150057273768614,
|
399 |
+
"grad_norm": 9.764941215515137,
|
400 |
+
"learning_rate": 2.8200885392847106e-06,
|
401 |
+
"loss": 1.175,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.3207331042382589,
|
406 |
+
"grad_norm": 16.335607528686523,
|
407 |
+
"learning_rate": 2.8136269981624244e-06,
|
408 |
+
"loss": 1.0646,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.32646048109965636,
|
413 |
+
"grad_norm": 8.465163230895996,
|
414 |
+
"learning_rate": 2.8070591357074282e-06,
|
415 |
+
"loss": 1.2205,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.3321878579610538,
|
420 |
+
"grad_norm": 11.596179008483887,
|
421 |
+
"learning_rate": 2.800385483504327e-06,
|
422 |
+
"loss": 1.2421,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.33791523482245134,
|
427 |
+
"grad_norm": 11.226552963256836,
|
428 |
+
"learning_rate": 2.7936065817000565e-06,
|
429 |
+
"loss": 1.1326,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.3436426116838488,
|
434 |
+
"grad_norm": 11.108230590820312,
|
435 |
+
"learning_rate": 2.7867229789601615e-06,
|
436 |
+
"loss": 1.2161,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.34936998854524626,
|
441 |
+
"grad_norm": 12.34344482421875,
|
442 |
+
"learning_rate": 2.7797352324243925e-06,
|
443 |
+
"loss": 1.149,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.3550973654066438,
|
448 |
+
"grad_norm": 7.934173583984375,
|
449 |
+
"learning_rate": 2.772643907661609e-06,
|
450 |
+
"loss": 1.1019,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.36082474226804123,
|
455 |
+
"grad_norm": 7.608425140380859,
|
456 |
+
"learning_rate": 2.765449578624007e-06,
|
457 |
+
"loss": 1.0918,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.3665521191294387,
|
462 |
+
"grad_norm": 11.046185493469238,
|
463 |
+
"learning_rate": 2.7581528276006626e-06,
|
464 |
+
"loss": 1.0596,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.3722794959908362,
|
469 |
+
"grad_norm": 12.330936431884766,
|
470 |
+
"learning_rate": 2.7507542451704043e-06,
|
471 |
+
"loss": 1.282,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.37800687285223367,
|
476 |
+
"grad_norm": 14.420117378234863,
|
477 |
+
"learning_rate": 2.743254430154012e-06,
|
478 |
+
"loss": 1.215,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.3837342497136312,
|
483 |
+
"grad_norm": 10.501232147216797,
|
484 |
+
"learning_rate": 2.7356539895657513e-06,
|
485 |
+
"loss": 1.1786,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.38946162657502864,
|
490 |
+
"grad_norm": 10.232950210571289,
|
491 |
+
"learning_rate": 2.727953538564244e-06,
|
492 |
+
"loss": 1.1201,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.3951890034364261,
|
497 |
+
"grad_norm": 13.221607208251953,
|
498 |
+
"learning_rate": 2.7201537004026756e-06,
|
499 |
+
"loss": 1.1669,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.4009163802978236,
|
504 |
+
"grad_norm": 9.83636474609375,
|
505 |
+
"learning_rate": 2.7122551063783555e-06,
|
506 |
+
"loss": 1.2779,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.4066437571592211,
|
511 |
+
"grad_norm": 10.758344650268555,
|
512 |
+
"learning_rate": 2.704258395781618e-06,
|
513 |
+
"loss": 1.1545,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.41237113402061853,
|
518 |
+
"grad_norm": 15.233297348022461,
|
519 |
+
"learning_rate": 2.696164215844081e-06,
|
520 |
+
"loss": 1.0843,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.41809851088201605,
|
525 |
+
"grad_norm": 9.102065086364746,
|
526 |
+
"learning_rate": 2.687973221686263e-06,
|
527 |
+
"loss": 1.0776,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.4238258877434135,
|
532 |
+
"grad_norm": 9.260092735290527,
|
533 |
+
"learning_rate": 2.679686076264554e-06,
|
534 |
+
"loss": 1.1087,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.42955326460481097,
|
539 |
+
"grad_norm": 19.753076553344727,
|
540 |
+
"learning_rate": 2.6713034503175643e-06,
|
541 |
+
"loss": 1.1055,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.4352806414662085,
|
546 |
+
"grad_norm": 7.540209770202637,
|
547 |
+
"learning_rate": 2.662826022311832e-06,
|
548 |
+
"loss": 1.1342,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.44100801832760594,
|
553 |
+
"grad_norm": 12.86109733581543,
|
554 |
+
"learning_rate": 2.654254478386912e-06,
|
555 |
+
"loss": 1.186,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.44673539518900346,
|
560 |
+
"grad_norm": 9.657477378845215,
|
561 |
+
"learning_rate": 2.6455895122998405e-06,
|
562 |
+
"loss": 1.1337,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.4524627720504009,
|
567 |
+
"grad_norm": 11.697619438171387,
|
568 |
+
"learning_rate": 2.636831825368986e-06,
|
569 |
+
"loss": 1.1123,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.4581901489117984,
|
574 |
+
"grad_norm": 9.250412940979004,
|
575 |
+
"learning_rate": 2.627982126417284e-06,
|
576 |
+
"loss": 1.0457,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.4639175257731959,
|
581 |
+
"grad_norm": 12.023123741149902,
|
582 |
+
"learning_rate": 2.619041131714869e-06,
|
583 |
+
"loss": 1.0837,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.46964490263459335,
|
588 |
+
"grad_norm": 8.030861854553223,
|
589 |
+
"learning_rate": 2.6100095649211017e-06,
|
590 |
+
"loss": 1.1827,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.4753722794959908,
|
595 |
+
"grad_norm": 10.623430252075195,
|
596 |
+
"learning_rate": 2.600888157025995e-06,
|
597 |
+
"loss": 1.0982,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.48109965635738833,
|
602 |
+
"grad_norm": 8.662152290344238,
|
603 |
+
"learning_rate": 2.591677646291054e-06,
|
604 |
+
"loss": 1.2227,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.4868270332187858,
|
609 |
+
"grad_norm": 11.325638771057129,
|
610 |
+
"learning_rate": 2.5823787781895197e-06,
|
611 |
+
"loss": 0.9943,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.4925544100801833,
|
616 |
+
"grad_norm": 9.88836669921875,
|
617 |
+
"learning_rate": 2.5729923053460347e-06,
|
618 |
+
"loss": 1.2253,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.49828178694158076,
|
623 |
+
"grad_norm": 11.135693550109863,
|
624 |
+
"learning_rate": 2.5635189874757255e-06,
|
625 |
+
"loss": 1.2906,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.5040091638029782,
|
630 |
+
"grad_norm": 8.991135597229004,
|
631 |
+
"learning_rate": 2.553959591322716e-06,
|
632 |
+
"loss": 1.0484,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.5097365406643757,
|
637 |
+
"grad_norm": 8.861202239990234,
|
638 |
+
"learning_rate": 2.544314890598067e-06,
|
639 |
+
"loss": 1.0301,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.5154639175257731,
|
644 |
+
"grad_norm": 13.207406997680664,
|
645 |
+
"learning_rate": 2.5345856659171565e-06,
|
646 |
+
"loss": 1.2542,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.5211912943871707,
|
651 |
+
"grad_norm": 9.178120613098145,
|
652 |
+
"learning_rate": 2.5247727047364956e-06,
|
653 |
+
"loss": 1.085,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.5269186712485682,
|
658 |
+
"grad_norm": 10.854491233825684,
|
659 |
+
"learning_rate": 2.5148768012899977e-06,
|
660 |
+
"loss": 1.2201,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.5326460481099656,
|
665 |
+
"grad_norm": 10.438577651977539,
|
666 |
+
"learning_rate": 2.5048987565246934e-06,
|
667 |
+
"loss": 1.1778,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.5383734249713631,
|
672 |
+
"grad_norm": 10.084646224975586,
|
673 |
+
"learning_rate": 2.4948393780359025e-06,
|
674 |
+
"loss": 1.1588,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.5441008018327605,
|
679 |
+
"grad_norm": 10.475250244140625,
|
680 |
+
"learning_rate": 2.484699480001873e-06,
|
681 |
+
"loss": 1.138,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.5498281786941581,
|
686 |
+
"grad_norm": 11.831788063049316,
|
687 |
+
"learning_rate": 2.4744798831178817e-06,
|
688 |
+
"loss": 1.1661,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.5555555555555556,
|
693 |
+
"grad_norm": 11.067156791687012,
|
694 |
+
"learning_rate": 2.464181414529809e-06,
|
695 |
+
"loss": 1.047,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.561282932416953,
|
700 |
+
"grad_norm": 12.043890953063965,
|
701 |
+
"learning_rate": 2.4538049077671936e-06,
|
702 |
+
"loss": 1.2494,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.5670103092783505,
|
707 |
+
"grad_norm": 12.70505142211914,
|
708 |
+
"learning_rate": 2.4433512026757667e-06,
|
709 |
+
"loss": 1.1073,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.572737686139748,
|
714 |
+
"grad_norm": 12.398516654968262,
|
715 |
+
"learning_rate": 2.4328211453494805e-06,
|
716 |
+
"loss": 1.183,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.572737686139748,
|
721 |
+
"eval_loss": 1.1016738414764404,
|
722 |
+
"eval_runtime": 5.3796,
|
723 |
+
"eval_samples_per_second": 66.92,
|
724 |
+
"eval_steps_per_second": 16.73,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.5784650630011455,
|
729 |
+
"grad_norm": 12.058919906616211,
|
730 |
+
"learning_rate": 2.4222155880620232e-06,
|
731 |
+
"loss": 1.1006,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.584192439862543,
|
736 |
+
"grad_norm": 9.806292533874512,
|
737 |
+
"learning_rate": 2.4115353891978432e-06,
|
738 |
+
"loss": 1.1667,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.5899198167239404,
|
743 |
+
"grad_norm": 8.650660514831543,
|
744 |
+
"learning_rate": 2.4007814131826705e-06,
|
745 |
+
"loss": 1.1308,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.5956471935853379,
|
750 |
+
"grad_norm": 11.571444511413574,
|
751 |
+
"learning_rate": 2.3899545304135533e-06,
|
752 |
+
"loss": 1.2669,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.6013745704467354,
|
757 |
+
"grad_norm": 10.114933013916016,
|
758 |
+
"learning_rate": 2.3790556171884107e-06,
|
759 |
+
"loss": 1.1049,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.6071019473081328,
|
764 |
+
"grad_norm": 11.771845817565918,
|
765 |
+
"learning_rate": 2.3680855556351075e-06,
|
766 |
+
"loss": 1.1428,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.6128293241695304,
|
771 |
+
"grad_norm": 10.653964042663574,
|
772 |
+
"learning_rate": 2.357045233640057e-06,
|
773 |
+
"loss": 1.1645,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.6185567010309279,
|
778 |
+
"grad_norm": 7.707538604736328,
|
779 |
+
"learning_rate": 2.34593554477636e-06,
|
780 |
+
"loss": 1.0534,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.6242840778923253,
|
785 |
+
"grad_norm": 13.67249870300293,
|
786 |
+
"learning_rate": 2.3347573882314764e-06,
|
787 |
+
"loss": 1.1389,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.6300114547537228,
|
792 |
+
"grad_norm": 11.033611297607422,
|
793 |
+
"learning_rate": 2.323511668734453e-06,
|
794 |
+
"loss": 1.2522,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.6357388316151202,
|
799 |
+
"grad_norm": 10.89904499053955,
|
800 |
+
"learning_rate": 2.312199296482695e-06,
|
801 |
+
"loss": 1.2145,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.6414662084765178,
|
806 |
+
"grad_norm": 15.723979949951172,
|
807 |
+
"learning_rate": 2.3008211870682958e-06,
|
808 |
+
"loss": 1.1635,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.6471935853379153,
|
813 |
+
"grad_norm": 9.854010581970215,
|
814 |
+
"learning_rate": 2.2893782614039325e-06,
|
815 |
+
"loss": 1.1548,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.6529209621993127,
|
820 |
+
"grad_norm": 7.649772644042969,
|
821 |
+
"learning_rate": 2.277871445648332e-06,
|
822 |
+
"loss": 1.1,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.6586483390607102,
|
827 |
+
"grad_norm": 10.99400806427002,
|
828 |
+
"learning_rate": 2.266301671131307e-06,
|
829 |
+
"loss": 1.0816,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.6643757159221076,
|
834 |
+
"grad_norm": 10.330283164978027,
|
835 |
+
"learning_rate": 2.2546698742783778e-06,
|
836 |
+
"loss": 1.0854,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.6701030927835051,
|
841 |
+
"grad_norm": 10.694668769836426,
|
842 |
+
"learning_rate": 2.2429769965349817e-06,
|
843 |
+
"loss": 1.1252,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.6758304696449027,
|
848 |
+
"grad_norm": 8.67434310913086,
|
849 |
+
"learning_rate": 2.231223984290273e-06,
|
850 |
+
"loss": 1.2776,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.6815578465063001,
|
855 |
+
"grad_norm": 16.908462524414062,
|
856 |
+
"learning_rate": 2.219411788800528e-06,
|
857 |
+
"loss": 1.1514,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.6872852233676976,
|
862 |
+
"grad_norm": 9.732044219970703,
|
863 |
+
"learning_rate": 2.2075413661121492e-06,
|
864 |
+
"loss": 1.1616,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.693012600229095,
|
869 |
+
"grad_norm": 12.07868766784668,
|
870 |
+
"learning_rate": 2.1956136769842885e-06,
|
871 |
+
"loss": 1.0862,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.6987399770904925,
|
876 |
+
"grad_norm": 15.745189666748047,
|
877 |
+
"learning_rate": 2.1836296868110836e-06,
|
878 |
+
"loss": 1.172,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.7044673539518901,
|
883 |
+
"grad_norm": 7.780303478240967,
|
884 |
+
"learning_rate": 2.1715903655435243e-06,
|
885 |
+
"loss": 1.1839,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.7101947308132875,
|
890 |
+
"grad_norm": 10.862656593322754,
|
891 |
+
"learning_rate": 2.1594966876109456e-06,
|
892 |
+
"loss": 1.2164,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.715922107674685,
|
897 |
+
"grad_norm": 11.16341495513916,
|
898 |
+
"learning_rate": 2.1473496318421603e-06,
|
899 |
+
"loss": 1.1294,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.7216494845360825,
|
904 |
+
"grad_norm": 6.848244667053223,
|
905 |
+
"learning_rate": 2.135150181386236e-06,
|
906 |
+
"loss": 1.1519,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 0.7273768613974799,
|
911 |
+
"grad_norm": 11.13603401184082,
|
912 |
+
"learning_rate": 2.122899323632919e-06,
|
913 |
+
"loss": 1.1782,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.7331042382588774,
|
918 |
+
"grad_norm": 7.1757402420043945,
|
919 |
+
"learning_rate": 2.1105980501327234e-06,
|
920 |
+
"loss": 1.0794,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.738831615120275,
|
925 |
+
"grad_norm": 8.15458869934082,
|
926 |
+
"learning_rate": 2.0982473565166727e-06,
|
927 |
+
"loss": 1.0031,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 0.7445589919816724,
|
932 |
+
"grad_norm": 11.527698516845703,
|
933 |
+
"learning_rate": 2.0858482424157164e-06,
|
934 |
+
"loss": 1.1078,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.7502863688430699,
|
939 |
+
"grad_norm": 7.272953510284424,
|
940 |
+
"learning_rate": 2.073401711379827e-06,
|
941 |
+
"loss": 1.2212,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 0.7560137457044673,
|
946 |
+
"grad_norm": 8.701218605041504,
|
947 |
+
"learning_rate": 2.060908770796769e-06,
|
948 |
+
"loss": 1.1787,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 0.7617411225658648,
|
953 |
+
"grad_norm": 8.603687286376953,
|
954 |
+
"learning_rate": 2.0483704318105704e-06,
|
955 |
+
"loss": 1.0969,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.7674684994272624,
|
960 |
+
"grad_norm": 8.430140495300293,
|
961 |
+
"learning_rate": 2.0357877092396775e-06,
|
962 |
+
"loss": 1.1568,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.7731958762886598,
|
967 |
+
"grad_norm": 10.301761627197266,
|
968 |
+
"learning_rate": 2.023161621494823e-06,
|
969 |
+
"loss": 1.1787,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 0.7789232531500573,
|
974 |
+
"grad_norm": 10.218490600585938,
|
975 |
+
"learning_rate": 2.0104931904965965e-06,
|
976 |
+
"loss": 1.0406,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.7846506300114547,
|
981 |
+
"grad_norm": 11.949338912963867,
|
982 |
+
"learning_rate": 1.9977834415927326e-06,
|
983 |
+
"loss": 1.1459,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.7903780068728522,
|
988 |
+
"grad_norm": 9.224528312683105,
|
989 |
+
"learning_rate": 1.985033403475123e-06,
|
990 |
+
"loss": 1.1283,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 0.7961053837342497,
|
995 |
+
"grad_norm": 9.380345344543457,
|
996 |
+
"learning_rate": 1.9722441080965565e-06,
|
997 |
+
"loss": 1.0648,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.8018327605956472,
|
1002 |
+
"grad_norm": 12.056816101074219,
|
1003 |
+
"learning_rate": 1.9594165905871968e-06,
|
1004 |
+
"loss": 1.1021,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.8075601374570447,
|
1009 |
+
"grad_norm": 11.585986137390137,
|
1010 |
+
"learning_rate": 1.946551889170801e-06,
|
1011 |
+
"loss": 1.0863,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 0.8132875143184422,
|
1016 |
+
"grad_norm": 10.934039115905762,
|
1017 |
+
"learning_rate": 1.9336510450806875e-06,
|
1018 |
+
"loss": 1.1676,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.8190148911798396,
|
1023 |
+
"grad_norm": 8.694523811340332,
|
1024 |
+
"learning_rate": 1.920715102475464e-06,
|
1025 |
+
"loss": 1.033,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 0.8247422680412371,
|
1030 |
+
"grad_norm": 9.625450134277344,
|
1031 |
+
"learning_rate": 1.9077451083545143e-06,
|
1032 |
+
"loss": 1.1275,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.8304696449026346,
|
1037 |
+
"grad_norm": 7.567831516265869,
|
1038 |
+
"learning_rate": 1.8947421124732576e-06,
|
1039 |
+
"loss": 1.2054,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.8361970217640321,
|
1044 |
+
"grad_norm": 10.554939270019531,
|
1045 |
+
"learning_rate": 1.8817071672581839e-06,
|
1046 |
+
"loss": 1.1276,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.8419243986254296,
|
1051 |
+
"grad_norm": 10.357826232910156,
|
1052 |
+
"learning_rate": 1.868641327721675e-06,
|
1053 |
+
"loss": 1.2319,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 0.847651775486827,
|
1058 |
+
"grad_norm": 16.142457962036133,
|
1059 |
+
"learning_rate": 1.8555456513766118e-06,
|
1060 |
+
"loss": 1.1066,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.8533791523482245,
|
1065 |
+
"grad_norm": 9.302567481994629,
|
1066 |
+
"learning_rate": 1.8424211981507858e-06,
|
1067 |
+
"loss": 0.9964,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.8591065292096219,
|
1072 |
+
"grad_norm": 13.468149185180664,
|
1073 |
+
"learning_rate": 1.8292690303011076e-06,
|
1074 |
+
"loss": 1.1009,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 0.8591065292096219,
|
1079 |
+
"eval_loss": 1.086885690689087,
|
1080 |
+
"eval_runtime": 5.2843,
|
1081 |
+
"eval_samples_per_second": 68.127,
|
1082 |
+
"eval_steps_per_second": 17.032,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.8648339060710195,
|
1087 |
+
"grad_norm": 9.433229446411133,
|
1088 |
+
"learning_rate": 1.816090212327634e-06,
|
1089 |
+
"loss": 1.0945,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 0.870561282932417,
|
1094 |
+
"grad_norm": 12.731361389160156,
|
1095 |
+
"learning_rate": 1.8028858108874094e-06,
|
1096 |
+
"loss": 1.0626,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.8762886597938144,
|
1101 |
+
"grad_norm": 10.284618377685547,
|
1102 |
+
"learning_rate": 1.7896568947081322e-06,
|
1103 |
+
"loss": 1.1405,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.8820160366552119,
|
1108 |
+
"grad_norm": 11.09489631652832,
|
1109 |
+
"learning_rate": 1.776404534501656e-06,
|
1110 |
+
"loss": 1.1558,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 0.8877434135166093,
|
1115 |
+
"grad_norm": 11.1835298538208,
|
1116 |
+
"learning_rate": 1.7631298028773296e-06,
|
1117 |
+
"loss": 1.2162,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.8934707903780069,
|
1122 |
+
"grad_norm": 8.714800834655762,
|
1123 |
+
"learning_rate": 1.7498337742551817e-06,
|
1124 |
+
"loss": 1.0309,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.8991981672394044,
|
1129 |
+
"grad_norm": 13.366388320922852,
|
1130 |
+
"learning_rate": 1.7365175247789623e-06,
|
1131 |
+
"loss": 1.0123,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 0.9049255441008018,
|
1136 |
+
"grad_norm": 8.921965599060059,
|
1137 |
+
"learning_rate": 1.7231821322290399e-06,
|
1138 |
+
"loss": 1.1375,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.9106529209621993,
|
1143 |
+
"grad_norm": 11.560654640197754,
|
1144 |
+
"learning_rate": 1.7098286759351717e-06,
|
1145 |
+
"loss": 1.1892,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.9163802978235968,
|
1150 |
+
"grad_norm": 7.3394670486450195,
|
1151 |
+
"learning_rate": 1.6964582366891427e-06,
|
1152 |
+
"loss": 1.2526,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.9221076746849943,
|
1157 |
+
"grad_norm": 8.516718864440918,
|
1158 |
+
"learning_rate": 1.6830718966572928e-06,
|
1159 |
+
"loss": 1.0736,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.9278350515463918,
|
1164 |
+
"grad_norm": 10.884456634521484,
|
1165 |
+
"learning_rate": 1.6696707392929268e-06,
|
1166 |
+
"loss": 1.1471,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.9335624284077892,
|
1171 |
+
"grad_norm": 11.866485595703125,
|
1172 |
+
"learning_rate": 1.6562558492486226e-06,
|
1173 |
+
"loss": 1.0814,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 0.9392898052691867,
|
1178 |
+
"grad_norm": 10.002748489379883,
|
1179 |
+
"learning_rate": 1.6428283122884437e-06,
|
1180 |
+
"loss": 1.0393,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.9450171821305842,
|
1185 |
+
"grad_norm": 10.888050079345703,
|
1186 |
+
"learning_rate": 1.6293892152000613e-06,
|
1187 |
+
"loss": 1.1509,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 0.9507445589919816,
|
1192 |
+
"grad_norm": 10.640623092651367,
|
1193 |
+
"learning_rate": 1.6159396457067895e-06,
|
1194 |
+
"loss": 1.2364,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 0.9564719358533792,
|
1199 |
+
"grad_norm": 10.190733909606934,
|
1200 |
+
"learning_rate": 1.60248069237955e-06,
|
1201 |
+
"loss": 1.203,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.9621993127147767,
|
1206 |
+
"grad_norm": 9.43203353881836,
|
1207 |
+
"learning_rate": 1.5890134445487679e-06,
|
1208 |
+
"loss": 1.1801,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.9679266895761741,
|
1213 |
+
"grad_norm": 11.540404319763184,
|
1214 |
+
"learning_rate": 1.5755389922162003e-06,
|
1215 |
+
"loss": 1.097,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 0.9736540664375716,
|
1220 |
+
"grad_norm": 10.006051063537598,
|
1221 |
+
"learning_rate": 1.5620584259667175e-06,
|
1222 |
+
"loss": 1.1071,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.979381443298969,
|
1227 |
+
"grad_norm": 11.146818161010742,
|
1228 |
+
"learning_rate": 1.548572836880034e-06,
|
1229 |
+
"loss": 1.297,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 0.9851088201603666,
|
1234 |
+
"grad_norm": 15.32827091217041,
|
1235 |
+
"learning_rate": 1.5350833164423974e-06,
|
1236 |
+
"loss": 1.1533,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.9908361970217641,
|
1241 |
+
"grad_norm": 13.463982582092285,
|
1242 |
+
"learning_rate": 1.5215909564582499e-06,
|
1243 |
+
"loss": 1.1084,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.9965635738831615,
|
1248 |
+
"grad_norm": 10.163274765014648,
|
1249 |
+
"learning_rate": 1.5080968489618567e-06,
|
1250 |
+
"loss": 1.0932,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 1.002290950744559,
|
1255 |
+
"grad_norm": 8.775249481201172,
|
1256 |
+
"learning_rate": 1.494602086128923e-06,
|
1257 |
+
"loss": 0.9301,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 1.0080183276059564,
|
1262 |
+
"grad_norm": 7.848943710327148,
|
1263 |
+
"learning_rate": 1.4811077601881953e-06,
|
1264 |
+
"loss": 0.6965,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 1.013745704467354,
|
1269 |
+
"grad_norm": 13.538870811462402,
|
1270 |
+
"learning_rate": 1.4676149633330583e-06,
|
1271 |
+
"loss": 0.6828,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 1.0194730813287514,
|
1276 |
+
"grad_norm": 10.99616527557373,
|
1277 |
+
"learning_rate": 1.4541247876331374e-06,
|
1278 |
+
"loss": 0.6853,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 1.0252004581901488,
|
1283 |
+
"grad_norm": 8.934946060180664,
|
1284 |
+
"learning_rate": 1.440638324945909e-06,
|
1285 |
+
"loss": 0.759,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 1.0309278350515463,
|
1290 |
+
"grad_norm": 8.413115501403809,
|
1291 |
+
"learning_rate": 1.4271566668283281e-06,
|
1292 |
+
"loss": 0.8167,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 1.036655211912944,
|
1297 |
+
"grad_norm": 12.693419456481934,
|
1298 |
+
"learning_rate": 1.413680904448481e-06,
|
1299 |
+
"loss": 0.7765,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 1.0423825887743414,
|
1304 |
+
"grad_norm": 18.639657974243164,
|
1305 |
+
"learning_rate": 1.4002121284972705e-06,
|
1306 |
+
"loss": 0.6784,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 1.0481099656357389,
|
1311 |
+
"grad_norm": 9.834324836730957,
|
1312 |
+
"learning_rate": 1.3867514291001363e-06,
|
1313 |
+
"loss": 0.6933,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 1.0538373424971363,
|
1318 |
+
"grad_norm": 10.812657356262207,
|
1319 |
+
"learning_rate": 1.373299895728824e-06,
|
1320 |
+
"loss": 0.7267,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 1.0595647193585338,
|
1325 |
+
"grad_norm": 10.644402503967285,
|
1326 |
+
"learning_rate": 1.3598586171132068e-06,
|
1327 |
+
"loss": 0.7609,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 1.0652920962199313,
|
1332 |
+
"grad_norm": 10.04351806640625,
|
1333 |
+
"learning_rate": 1.3464286811531663e-06,
|
1334 |
+
"loss": 0.6473,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 1.0710194730813287,
|
1339 |
+
"grad_norm": 8.527778625488281,
|
1340 |
+
"learning_rate": 1.3330111748305409e-06,
|
1341 |
+
"loss": 0.6419,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 1.0767468499427262,
|
1346 |
+
"grad_norm": 10.766478538513184,
|
1347 |
+
"learning_rate": 1.3196071841211486e-06,
|
1348 |
+
"loss": 0.707,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 1.0824742268041236,
|
1353 |
+
"grad_norm": 9.123445510864258,
|
1354 |
+
"learning_rate": 1.3062177939068908e-06,
|
1355 |
+
"loss": 0.7146,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 1.088201603665521,
|
1360 |
+
"grad_norm": 13.148359298706055,
|
1361 |
+
"learning_rate": 1.292844087887946e-06,
|
1362 |
+
"loss": 0.7023,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 1.0939289805269188,
|
1367 |
+
"grad_norm": 9.834714889526367,
|
1368 |
+
"learning_rate": 1.279487148495056e-06,
|
1369 |
+
"loss": 0.6432,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 1.0996563573883162,
|
1374 |
+
"grad_norm": 8.148127555847168,
|
1375 |
+
"learning_rate": 1.2661480568019203e-06,
|
1376 |
+
"loss": 0.6387,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 1.1053837342497137,
|
1381 |
+
"grad_norm": 14.112127304077148,
|
1382 |
+
"learning_rate": 1.2528278924376933e-06,
|
1383 |
+
"loss": 0.7409,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 1.1111111111111112,
|
1388 |
+
"grad_norm": 12.995244979858398,
|
1389 |
+
"learning_rate": 1.2395277334996047e-06,
|
1390 |
+
"loss": 0.7186,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 1.1168384879725086,
|
1395 |
+
"grad_norm": 11.058789253234863,
|
1396 |
+
"learning_rate": 1.2262486564656995e-06,
|
1397 |
+
"loss": 0.7758,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 1.122565864833906,
|
1402 |
+
"grad_norm": 11.76444149017334,
|
1403 |
+
"learning_rate": 1.2129917361077125e-06,
|
1404 |
+
"loss": 0.6512,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 1.1282932416953035,
|
1409 |
+
"grad_norm": 12.445648193359375,
|
1410 |
+
"learning_rate": 1.1997580454040784e-06,
|
1411 |
+
"loss": 0.6401,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.134020618556701,
|
1416 |
+
"grad_norm": 12.5171537399292,
|
1417 |
+
"learning_rate": 1.1865486554530874e-06,
|
1418 |
+
"loss": 0.7075,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 1.1397479954180985,
|
1423 |
+
"grad_norm": 11.082114219665527,
|
1424 |
+
"learning_rate": 1.1733646353861951e-06,
|
1425 |
+
"loss": 0.7184,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 1.145475372279496,
|
1430 |
+
"grad_norm": 8.820939064025879,
|
1431 |
+
"learning_rate": 1.1602070522814882e-06,
|
1432 |
+
"loss": 0.6901,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 1.145475372279496,
|
1437 |
+
"eval_loss": 1.1485834121704102,
|
1438 |
+
"eval_runtime": 5.46,
|
1439 |
+
"eval_samples_per_second": 65.934,
|
1440 |
+
"eval_steps_per_second": 16.484,
|
1441 |
+
"step": 2000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 1.1512027491408934,
|
1445 |
+
"grad_norm": 12.333765983581543,
|
1446 |
+
"learning_rate": 1.1470769710773189e-06,
|
1447 |
+
"loss": 0.7145,
|
1448 |
+
"step": 2010
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 1.1569301260022908,
|
1452 |
+
"grad_norm": 9.632255554199219,
|
1453 |
+
"learning_rate": 1.1339754544861111e-06,
|
1454 |
+
"loss": 0.6381,
|
1455 |
+
"step": 2020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 1.1626575028636885,
|
1459 |
+
"grad_norm": 10.103231430053711,
|
1460 |
+
"learning_rate": 1.1209035629083498e-06,
|
1461 |
+
"loss": 0.6353,
|
1462 |
+
"step": 2030
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 1.168384879725086,
|
1466 |
+
"grad_norm": 11.000112533569336,
|
1467 |
+
"learning_rate": 1.1078623543467518e-06,
|
1468 |
+
"loss": 0.676,
|
1469 |
+
"step": 2040
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 1.1741122565864834,
|
1473 |
+
"grad_norm": 11.119033813476562,
|
1474 |
+
"learning_rate": 1.0948528843206357e-06,
|
1475 |
+
"loss": 0.6746,
|
1476 |
+
"step": 2050
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 1.179839633447881,
|
1480 |
+
"grad_norm": 11.437407493591309,
|
1481 |
+
"learning_rate": 1.081876205780492e-06,
|
1482 |
+
"loss": 0.6734,
|
1483 |
+
"step": 2060
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 1.1855670103092784,
|
1487 |
+
"grad_norm": 8.372086524963379,
|
1488 |
+
"learning_rate": 1.068933369022758e-06,
|
1489 |
+
"loss": 0.7758,
|
1490 |
+
"step": 2070
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 1.1912943871706758,
|
1494 |
+
"grad_norm": 7.501805305480957,
|
1495 |
+
"learning_rate": 1.0560254216048105e-06,
|
1496 |
+
"loss": 0.8655,
|
1497 |
+
"step": 2080
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 1.1970217640320733,
|
1501 |
+
"grad_norm": 11.55257797241211,
|
1502 |
+
"learning_rate": 1.0431534082601814e-06,
|
1503 |
+
"loss": 0.7701,
|
1504 |
+
"step": 2090
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 1.2027491408934707,
|
1508 |
+
"grad_norm": 13.704492568969727,
|
1509 |
+
"learning_rate": 1.0303183708139966e-06,
|
1510 |
+
"loss": 0.7325,
|
1511 |
+
"step": 2100
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 1.2084765177548682,
|
1515 |
+
"grad_norm": 9.895234107971191,
|
1516 |
+
"learning_rate": 1.0175213480986553e-06,
|
1517 |
+
"loss": 0.7678,
|
1518 |
+
"step": 2110
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 1.2142038946162657,
|
1522 |
+
"grad_norm": 11.093770027160645,
|
1523 |
+
"learning_rate": 1.0047633758697507e-06,
|
1524 |
+
"loss": 0.7074,
|
1525 |
+
"step": 2120
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 1.2199312714776633,
|
1529 |
+
"grad_norm": 7.835501194000244,
|
1530 |
+
"learning_rate": 9.920454867222362e-07,
|
1531 |
+
"loss": 0.6939,
|
1532 |
+
"step": 2130
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.2256586483390608,
|
1536 |
+
"grad_norm": 12.765395164489746,
|
1537 |
+
"learning_rate": 9.793687100068537e-07,
|
1538 |
+
"loss": 0.6601,
|
1539 |
+
"step": 2140
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 1.2313860252004583,
|
1543 |
+
"grad_norm": 8.465944290161133,
|
1544 |
+
"learning_rate": 9.667340717468165e-07,
|
1545 |
+
"loss": 0.6601,
|
1546 |
+
"step": 2150
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 1.2371134020618557,
|
1550 |
+
"grad_norm": 8.568673133850098,
|
1551 |
+
"learning_rate": 9.54142594554769e-07,
|
1552 |
+
"loss": 0.6536,
|
1553 |
+
"step": 2160
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 1.2428407789232532,
|
1557 |
+
"grad_norm": 11.03416633605957,
|
1558 |
+
"learning_rate": 9.415952975500177e-07,
|
1559 |
+
"loss": 0.7267,
|
1560 |
+
"step": 2170
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 1.2485681557846506,
|
1564 |
+
"grad_norm": 12.343921661376953,
|
1565 |
+
"learning_rate": 9.290931962760477e-07,
|
1566 |
+
"loss": 0.7921,
|
1567 |
+
"step": 2180
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 1.254295532646048,
|
1571 |
+
"grad_norm": 12.319411277770996,
|
1572 |
+
"learning_rate": 9.166373026183269e-07,
|
1573 |
+
"loss": 0.6843,
|
1574 |
+
"step": 2190
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.2600229095074456,
|
1578 |
+
"grad_norm": 11.100428581237793,
|
1579 |
+
"learning_rate": 9.042286247224054e-07,
|
1580 |
+
"loss": 0.7535,
|
1581 |
+
"step": 2200
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 1.265750286368843,
|
1585 |
+
"grad_norm": 10.030117988586426,
|
1586 |
+
"learning_rate": 8.918681669123218e-07,
|
1587 |
+
"loss": 0.6571,
|
1588 |
+
"step": 2210
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 1.2714776632302405,
|
1592 |
+
"grad_norm": 10.269767761230469,
|
1593 |
+
"learning_rate": 8.795569296093133e-07,
|
1594 |
+
"loss": 0.7255,
|
1595 |
+
"step": 2220
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 1.277205040091638,
|
1599 |
+
"grad_norm": 11.503005027770996,
|
1600 |
+
"learning_rate": 8.67295909250846e-07,
|
1601 |
+
"loss": 0.7021,
|
1602 |
+
"step": 2230
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 1.2829324169530354,
|
1606 |
+
"grad_norm": 19.0956974029541,
|
1607 |
+
"learning_rate": 8.55086098209965e-07,
|
1608 |
+
"loss": 0.644,
|
1609 |
+
"step": 2240
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 1.2886597938144329,
|
1613 |
+
"grad_norm": 11.60425090789795,
|
1614 |
+
"learning_rate": 8.429284847149765e-07,
|
1615 |
+
"loss": 0.7289,
|
1616 |
+
"step": 2250
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 1.2943871706758305,
|
1620 |
+
"grad_norm": 11.15966510772705,
|
1621 |
+
"learning_rate": 8.308240527694602e-07,
|
1622 |
+
"loss": 0.6789,
|
1623 |
+
"step": 2260
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 1.300114547537228,
|
1627 |
+
"grad_norm": 11.775574684143066,
|
1628 |
+
"learning_rate": 8.187737820726293e-07,
|
1629 |
+
"loss": 0.7226,
|
1630 |
+
"step": 2270
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 1.3058419243986255,
|
1634 |
+
"grad_norm": 10.303918838500977,
|
1635 |
+
"learning_rate": 8.067786479400346e-07,
|
1636 |
+
"loss": 0.6405,
|
1637 |
+
"step": 2280
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 1.311569301260023,
|
1641 |
+
"grad_norm": 11.979586601257324,
|
1642 |
+
"learning_rate": 7.948396212246273e-07,
|
1643 |
+
"loss": 0.6847,
|
1644 |
+
"step": 2290
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 1.3172966781214204,
|
1648 |
+
"grad_norm": 8.767427444458008,
|
1649 |
+
"learning_rate": 7.829576682381782e-07,
|
1650 |
+
"loss": 0.681,
|
1651 |
+
"step": 2300
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 1.3230240549828178,
|
1655 |
+
"grad_norm": 12.378206253051758,
|
1656 |
+
"learning_rate": 7.711337506730695e-07,
|
1657 |
+
"loss": 0.7108,
|
1658 |
+
"step": 2310
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 1.3287514318442153,
|
1662 |
+
"grad_norm": 9.478968620300293,
|
1663 |
+
"learning_rate": 7.593688255244566e-07,
|
1664 |
+
"loss": 0.6728,
|
1665 |
+
"step": 2320
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 1.3344788087056128,
|
1669 |
+
"grad_norm": 13.136493682861328,
|
1670 |
+
"learning_rate": 7.476638450128123e-07,
|
1671 |
+
"loss": 0.6783,
|
1672 |
+
"step": 2330
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 1.3402061855670104,
|
1676 |
+
"grad_norm": 12.096550941467285,
|
1677 |
+
"learning_rate": 7.360197565068561e-07,
|
1678 |
+
"loss": 0.6398,
|
1679 |
+
"step": 2340
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 1.345933562428408,
|
1683 |
+
"grad_norm": 9.796936988830566,
|
1684 |
+
"learning_rate": 7.244375024468765e-07,
|
1685 |
+
"loss": 0.659,
|
1686 |
+
"step": 2350
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 1.3516609392898054,
|
1690 |
+
"grad_norm": 12.897764205932617,
|
1691 |
+
"learning_rate": 7.129180202684554e-07,
|
1692 |
+
"loss": 0.6226,
|
1693 |
+
"step": 2360
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 1.3573883161512028,
|
1697 |
+
"grad_norm": 13.480414390563965,
|
1698 |
+
"learning_rate": 7.0146224232659e-07,
|
1699 |
+
"loss": 0.7311,
|
1700 |
+
"step": 2370
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.3631156930126003,
|
1704 |
+
"grad_norm": 9.178197860717773,
|
1705 |
+
"learning_rate": 6.900710958202341e-07,
|
1706 |
+
"loss": 0.7167,
|
1707 |
+
"step": 2380
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 1.3688430698739977,
|
1711 |
+
"grad_norm": 7.676974773406982,
|
1712 |
+
"learning_rate": 6.787455027172515e-07,
|
1713 |
+
"loss": 0.7085,
|
1714 |
+
"step": 2390
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 1.3745704467353952,
|
1718 |
+
"grad_norm": 19.0358829498291,
|
1719 |
+
"learning_rate": 6.674863796797954e-07,
|
1720 |
+
"loss": 0.6221,
|
1721 |
+
"step": 2400
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 1.3802978235967927,
|
1725 |
+
"grad_norm": 10.022867202758789,
|
1726 |
+
"learning_rate": 6.562946379901158e-07,
|
1727 |
+
"loss": 0.7337,
|
1728 |
+
"step": 2410
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 1.38602520045819,
|
1732 |
+
"grad_norm": 11.5038480758667,
|
1733 |
+
"learning_rate": 6.451711834768026e-07,
|
1734 |
+
"loss": 0.6849,
|
1735 |
+
"step": 2420
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 1.3917525773195876,
|
1739 |
+
"grad_norm": 10.91701889038086,
|
1740 |
+
"learning_rate": 6.341169164414712e-07,
|
1741 |
+
"loss": 0.6061,
|
1742 |
+
"step": 2430
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 1.397479954180985,
|
1746 |
+
"grad_norm": 11.305731773376465,
|
1747 |
+
"learning_rate": 6.23132731585894e-07,
|
1748 |
+
"loss": 0.6072,
|
1749 |
+
"step": 2440
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 1.4032073310423825,
|
1753 |
+
"grad_norm": 11.2603178024292,
|
1754 |
+
"learning_rate": 6.122195179395854e-07,
|
1755 |
+
"loss": 0.7589,
|
1756 |
+
"step": 2450
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 1.40893470790378,
|
1760 |
+
"grad_norm": 10.891215324401855,
|
1761 |
+
"learning_rate": 6.013781587878464e-07,
|
1762 |
+
"loss": 0.6253,
|
1763 |
+
"step": 2460
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 1.4146620847651776,
|
1767 |
+
"grad_norm": 13.905660629272461,
|
1768 |
+
"learning_rate": 5.906095316002755e-07,
|
1769 |
+
"loss": 0.7618,
|
1770 |
+
"step": 2470
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 1.420389461626575,
|
1774 |
+
"grad_norm": 8.74496078491211,
|
1775 |
+
"learning_rate": 5.799145079597458e-07,
|
1776 |
+
"loss": 0.6866,
|
1777 |
+
"step": 2480
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 1.4261168384879725,
|
1781 |
+
"grad_norm": 10.08084487915039,
|
1782 |
+
"learning_rate": 5.69293953491864e-07,
|
1783 |
+
"loss": 0.6584,
|
1784 |
+
"step": 2490
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 1.43184421534937,
|
1788 |
+
"grad_norm": 9.269981384277344,
|
1789 |
+
"learning_rate": 5.587487277949075e-07,
|
1790 |
+
"loss": 0.7377,
|
1791 |
+
"step": 2500
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 1.43184421534937,
|
1795 |
+
"eval_loss": 1.1487523317337036,
|
1796 |
+
"eval_runtime": 5.3152,
|
1797 |
+
"eval_samples_per_second": 67.73,
|
1798 |
+
"eval_steps_per_second": 16.933,
|
1799 |
+
"step": 2500
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 1.4375715922107675,
|
1803 |
+
"grad_norm": 8.877992630004883,
|
1804 |
+
"learning_rate": 5.48279684370252e-07,
|
1805 |
+
"loss": 0.7111,
|
1806 |
+
"step": 2510
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 1.443298969072165,
|
1810 |
+
"grad_norm": 24.23348045349121,
|
1811 |
+
"learning_rate": 5.378876705532904e-07,
|
1812 |
+
"loss": 0.62,
|
1813 |
+
"step": 2520
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 1.4490263459335624,
|
1817 |
+
"grad_norm": 9.67536735534668,
|
1818 |
+
"learning_rate": 5.275735274448529e-07,
|
1819 |
+
"loss": 0.7702,
|
1820 |
+
"step": 2530
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.4547537227949598,
|
1824 |
+
"grad_norm": 10.30777359008789,
|
1825 |
+
"learning_rate": 5.173380898431305e-07,
|
1826 |
+
"loss": 0.6682,
|
1827 |
+
"step": 2540
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 1.4604810996563573,
|
1831 |
+
"grad_norm": 12.1168212890625,
|
1832 |
+
"learning_rate": 5.071821861761074e-07,
|
1833 |
+
"loss": 0.6713,
|
1834 |
+
"step": 2550
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 1.466208476517755,
|
1838 |
+
"grad_norm": 7.113183975219727,
|
1839 |
+
"learning_rate": 4.97106638434512e-07,
|
1840 |
+
"loss": 0.7582,
|
1841 |
+
"step": 2560
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 1.4719358533791524,
|
1845 |
+
"grad_norm": 13.592216491699219,
|
1846 |
+
"learning_rate": 4.87112262105286e-07,
|
1847 |
+
"loss": 0.6917,
|
1848 |
+
"step": 2570
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 1.47766323024055,
|
1852 |
+
"grad_norm": 10.175348281860352,
|
1853 |
+
"learning_rate": 4.771998661055823e-07,
|
1854 |
+
"loss": 0.7341,
|
1855 |
+
"step": 2580
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 1.4833906071019474,
|
1859 |
+
"grad_norm": 10.051101684570312,
|
1860 |
+
"learning_rate": 4.673702527172919e-07,
|
1861 |
+
"loss": 0.5795,
|
1862 |
+
"step": 2590
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.4891179839633448,
|
1866 |
+
"grad_norm": 9.961878776550293,
|
1867 |
+
"learning_rate": 4.576242175221121e-07,
|
1868 |
+
"loss": 0.6895,
|
1869 |
+
"step": 2600
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 1.4948453608247423,
|
1873 |
+
"grad_norm": 10.214471817016602,
|
1874 |
+
"learning_rate": 4.479625493371512e-07,
|
1875 |
+
"loss": 0.6552,
|
1876 |
+
"step": 2610
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 1.5005727376861397,
|
1880 |
+
"grad_norm": 16.537036895751953,
|
1881 |
+
"learning_rate": 4.3838603015108537e-07,
|
1882 |
+
"loss": 0.6821,
|
1883 |
+
"step": 2620
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 1.5063001145475372,
|
1887 |
+
"grad_norm": 8.615083694458008,
|
1888 |
+
"learning_rate": 4.288954350608672e-07,
|
1889 |
+
"loss": 0.6581,
|
1890 |
+
"step": 2630
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 1.5120274914089347,
|
1894 |
+
"grad_norm": 12.914610862731934,
|
1895 |
+
"learning_rate": 4.1949153220898987e-07,
|
1896 |
+
"loss": 0.7688,
|
1897 |
+
"step": 2640
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 1.5177548682703321,
|
1901 |
+
"grad_norm": 10.495301246643066,
|
1902 |
+
"learning_rate": 4.1017508272131794e-07,
|
1903 |
+
"loss": 0.6831,
|
1904 |
+
"step": 2650
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 1.5234822451317296,
|
1908 |
+
"grad_norm": 11.30919075012207,
|
1909 |
+
"learning_rate": 4.009468406454818e-07,
|
1910 |
+
"loss": 0.796,
|
1911 |
+
"step": 2660
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 1.529209621993127,
|
1915 |
+
"grad_norm": 9.941025733947754,
|
1916 |
+
"learning_rate": 3.9180755288984837e-07,
|
1917 |
+
"loss": 0.7486,
|
1918 |
+
"step": 2670
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 1.5349369988545245,
|
1922 |
+
"grad_norm": 11.294404983520508,
|
1923 |
+
"learning_rate": 3.8275795916306827e-07,
|
1924 |
+
"loss": 0.6736,
|
1925 |
+
"step": 2680
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 1.540664375715922,
|
1929 |
+
"grad_norm": 12.294686317443848,
|
1930 |
+
"learning_rate": 3.737987919142061e-07,
|
1931 |
+
"loss": 0.6431,
|
1932 |
+
"step": 2690
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 1.5463917525773194,
|
1936 |
+
"grad_norm": 11.265865325927734,
|
1937 |
+
"learning_rate": 3.64930776273457e-07,
|
1938 |
+
"loss": 0.8467,
|
1939 |
+
"step": 2700
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 1.552119129438717,
|
1943 |
+
"grad_norm": 7.701663970947266,
|
1944 |
+
"learning_rate": 3.561546299934577e-07,
|
1945 |
+
"loss": 0.7307,
|
1946 |
+
"step": 2710
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 1.5578465063001146,
|
1950 |
+
"grad_norm": 14.973838806152344,
|
1951 |
+
"learning_rate": 3.4747106339119276e-07,
|
1952 |
+
"loss": 0.7451,
|
1953 |
+
"step": 2720
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 1.563573883161512,
|
1957 |
+
"grad_norm": 23.487585067749023,
|
1958 |
+
"learning_rate": 3.388807792905045e-07,
|
1959 |
+
"loss": 0.6253,
|
1960 |
+
"step": 2730
|
1961 |
+
},
|
1962 |
+
{
|
1963 |
+
"epoch": 1.5693012600229095,
|
1964 |
+
"grad_norm": 10.245492935180664,
|
1965 |
+
"learning_rate": 3.303844729652073e-07,
|
1966 |
+
"loss": 0.7833,
|
1967 |
+
"step": 2740
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 1.575028636884307,
|
1971 |
+
"grad_norm": 10.44719123840332,
|
1972 |
+
"learning_rate": 3.219828320828148e-07,
|
1973 |
+
"loss": 0.6858,
|
1974 |
+
"step": 2750
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 1.5807560137457046,
|
1978 |
+
"grad_norm": 8.665092468261719,
|
1979 |
+
"learning_rate": 3.1367653664888173e-07,
|
1980 |
+
"loss": 0.6299,
|
1981 |
+
"step": 2760
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 1.586483390607102,
|
1985 |
+
"grad_norm": 11.613511085510254,
|
1986 |
+
"learning_rate": 3.054662589519661e-07,
|
1987 |
+
"loss": 0.8032,
|
1988 |
+
"step": 2770
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 1.5922107674684995,
|
1992 |
+
"grad_norm": 7.786969184875488,
|
1993 |
+
"learning_rate": 2.973526635092163e-07,
|
1994 |
+
"loss": 0.7187,
|
1995 |
+
"step": 2780
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 1.597938144329897,
|
1999 |
+
"grad_norm": 13.719048500061035,
|
2000 |
+
"learning_rate": 2.8933640701258597e-07,
|
2001 |
+
"loss": 0.7349,
|
2002 |
+
"step": 2790
|
2003 |
+
},
|
2004 |
+
{
|
2005 |
+
"epoch": 1.6036655211912945,
|
2006 |
+
"grad_norm": 11.509296417236328,
|
2007 |
+
"learning_rate": 2.8141813827568525e-07,
|
2008 |
+
"loss": 0.6635,
|
2009 |
+
"step": 2800
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 1.609392898052692,
|
2013 |
+
"grad_norm": 10.817230224609375,
|
2014 |
+
"learning_rate": 2.7359849818126533e-07,
|
2015 |
+
"loss": 0.7161,
|
2016 |
+
"step": 2810
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 1.6151202749140894,
|
2020 |
+
"grad_norm": 13.700976371765137,
|
2021 |
+
"learning_rate": 2.6587811962934823e-07,
|
2022 |
+
"loss": 0.7205,
|
2023 |
+
"step": 2820
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 1.6208476517754868,
|
2027 |
+
"grad_norm": 10.548551559448242,
|
2028 |
+
"learning_rate": 2.582576274860015e-07,
|
2029 |
+
"loss": 0.6782,
|
2030 |
+
"step": 2830
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 1.6265750286368843,
|
2034 |
+
"grad_norm": 9.971668243408203,
|
2035 |
+
"learning_rate": 2.507376385327634e-07,
|
2036 |
+
"loss": 0.7375,
|
2037 |
+
"step": 2840
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 1.6323024054982818,
|
2041 |
+
"grad_norm": 11.734025001525879,
|
2042 |
+
"learning_rate": 2.4331876141672204e-07,
|
2043 |
+
"loss": 0.6543,
|
2044 |
+
"step": 2850
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 1.6380297823596792,
|
2048 |
+
"grad_norm": 10.10330581665039,
|
2049 |
+
"learning_rate": 2.360015966012537e-07,
|
2050 |
+
"loss": 0.7008,
|
2051 |
+
"step": 2860
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 1.6437571592210767,
|
2055 |
+
"grad_norm": 8.163260459899902,
|
2056 |
+
"learning_rate": 2.2878673631742236e-07,
|
2057 |
+
"loss": 0.758,
|
2058 |
+
"step": 2870
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 1.6494845360824741,
|
2062 |
+
"grad_norm": 9.96818733215332,
|
2063 |
+
"learning_rate": 2.2167476451604624e-07,
|
2064 |
+
"loss": 0.7625,
|
2065 |
+
"step": 2880
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 1.6552119129438716,
|
2069 |
+
"grad_norm": 11.303291320800781,
|
2070 |
+
"learning_rate": 2.1466625682043516e-07,
|
2071 |
+
"loss": 0.6977,
|
2072 |
+
"step": 2890
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 1.660939289805269,
|
2076 |
+
"grad_norm": 11.4495210647583,
|
2077 |
+
"learning_rate": 2.0776178047979978e-07,
|
2078 |
+
"loss": 0.7007,
|
2079 |
+
"step": 2900
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 1.6666666666666665,
|
2083 |
+
"grad_norm": 13.028532981872559,
|
2084 |
+
"learning_rate": 2.0096189432334195e-07,
|
2085 |
+
"loss": 0.6004,
|
2086 |
+
"step": 2910
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 1.6723940435280642,
|
2090 |
+
"grad_norm": 10.361539840698242,
|
2091 |
+
"learning_rate": 1.9426714871502292e-07,
|
2092 |
+
"loss": 0.7078,
|
2093 |
+
"step": 2920
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 1.6781214203894617,
|
2097 |
+
"grad_norm": 10.60468864440918,
|
2098 |
+
"learning_rate": 1.8767808550901911e-07,
|
2099 |
+
"loss": 0.7244,
|
2100 |
+
"step": 2930
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 1.6838487972508591,
|
2104 |
+
"grad_norm": 9.203190803527832,
|
2105 |
+
"learning_rate": 1.811952380058657e-07,
|
2106 |
+
"loss": 0.636,
|
2107 |
+
"step": 2940
|
2108 |
+
},
|
2109 |
+
{
|
2110 |
+
"epoch": 1.6895761741122566,
|
2111 |
+
"grad_norm": 11.939068794250488,
|
2112 |
+
"learning_rate": 1.7481913090929314e-07,
|
2113 |
+
"loss": 0.7098,
|
2114 |
+
"step": 2950
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 1.695303550973654,
|
2118 |
+
"grad_norm": 9.831012725830078,
|
2119 |
+
"learning_rate": 1.6855028028375897e-07,
|
2120 |
+
"loss": 0.6872,
|
2121 |
+
"step": 2960
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 1.7010309278350515,
|
2125 |
+
"grad_norm": 18.38079261779785,
|
2126 |
+
"learning_rate": 1.623891935126786e-07,
|
2127 |
+
"loss": 0.6811,
|
2128 |
+
"step": 2970
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 1.7067583046964492,
|
2132 |
+
"grad_norm": 9.422789573669434,
|
2133 |
+
"learning_rate": 1.5633636925735933e-07,
|
2134 |
+
"loss": 0.6251,
|
2135 |
+
"step": 2980
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 1.7124856815578466,
|
2139 |
+
"grad_norm": 9.562675476074219,
|
2140 |
+
"learning_rate": 1.503922974166406e-07,
|
2141 |
+
"loss": 0.7189,
|
2142 |
+
"step": 2990
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 1.718213058419244,
|
2146 |
+
"grad_norm": 9.7070894241333,
|
2147 |
+
"learning_rate": 1.4455745908724226e-07,
|
2148 |
+
"loss": 0.6947,
|
2149 |
+
"step": 3000
|
2150 |
+
},
|
2151 |
+
{
|
2152 |
+
"epoch": 1.718213058419244,
|
2153 |
+
"eval_loss": 1.150073528289795,
|
2154 |
+
"eval_runtime": 5.3064,
|
2155 |
+
"eval_samples_per_second": 67.842,
|
2156 |
+
"eval_steps_per_second": 16.961,
|
2157 |
+
"step": 3000
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 1.7239404352806416,
|
2161 |
+
"grad_norm": 12.27785873413086,
|
2162 |
+
"learning_rate": 1.3883232652482553e-07,
|
2163 |
+
"loss": 0.8112,
|
2164 |
+
"step": 3010
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 1.729667812142039,
|
2168 |
+
"grad_norm": 12.872515678405762,
|
2169 |
+
"learning_rate": 1.3321736310577164e-07,
|
2170 |
+
"loss": 0.7575,
|
2171 |
+
"step": 3020
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 1.7353951890034365,
|
2175 |
+
"grad_norm": 11.842426300048828,
|
2176 |
+
"learning_rate": 1.2771302328967577e-07,
|
2177 |
+
"loss": 0.7448,
|
2178 |
+
"step": 3030
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 1.741122565864834,
|
2182 |
+
"grad_norm": 11.257376670837402,
|
2183 |
+
"learning_rate": 1.2231975258256462e-07,
|
2184 |
+
"loss": 0.6947,
|
2185 |
+
"step": 3040
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 1.7468499427262314,
|
2189 |
+
"grad_norm": 12.237911224365234,
|
2190 |
+
"learning_rate": 1.1703798750083938e-07,
|
2191 |
+
"loss": 0.684,
|
2192 |
+
"step": 3050
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 1.7525773195876289,
|
2196 |
+
"grad_norm": 11.303350448608398,
|
2197 |
+
"learning_rate": 1.1186815553594382e-07,
|
2198 |
+
"loss": 0.7047,
|
2199 |
+
"step": 3060
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 1.7583046964490263,
|
2203 |
+
"grad_norm": 10.056689262390137,
|
2204 |
+
"learning_rate": 1.068106751197659e-07,
|
2205 |
+
"loss": 0.6862,
|
2206 |
+
"step": 3070
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 1.7640320733104238,
|
2210 |
+
"grad_norm": 9.765776634216309,
|
2211 |
+
"learning_rate": 1.0186595559076939e-07,
|
2212 |
+
"loss": 0.7131,
|
2213 |
+
"step": 3080
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 1.7697594501718212,
|
2217 |
+
"grad_norm": 10.987778663635254,
|
2218 |
+
"learning_rate": 9.703439716086493e-08,
|
2219 |
+
"loss": 0.6012,
|
2220 |
+
"step": 3090
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 1.7754868270332187,
|
2224 |
+
"grad_norm": 14.675382614135742,
|
2225 |
+
"learning_rate": 9.231639088301635e-08,
|
2226 |
+
"loss": 0.6843,
|
2227 |
+
"step": 3100
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 1.7812142038946162,
|
2231 |
+
"grad_norm": 15.27701187133789,
|
2232 |
+
"learning_rate": 8.771231861959106e-08,
|
2233 |
+
"loss": 0.7452,
|
2234 |
+
"step": 3110
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 1.7869415807560136,
|
2238 |
+
"grad_norm": 12.017073631286621,
|
2239 |
+
"learning_rate": 8.322255301145204e-08,
|
2240 |
+
"loss": 0.7111,
|
2241 |
+
"step": 3120
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 1.792668957617411,
|
2245 |
+
"grad_norm": 8.804431915283203,
|
2246 |
+
"learning_rate": 7.884745744779937e-08,
|
2247 |
+
"loss": 0.7718,
|
2248 |
+
"step": 3130
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 1.7983963344788088,
|
2252 |
+
"grad_norm": 10.447242736816406,
|
2253 |
+
"learning_rate": 7.458738603675602e-08,
|
2254 |
+
"loss": 0.8338,
|
2255 |
+
"step": 3140
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 1.8041237113402062,
|
2259 |
+
"grad_norm": 13.058491706848145,
|
2260 |
+
"learning_rate": 7.044268357670869e-08,
|
2261 |
+
"loss": 0.5838,
|
2262 |
+
"step": 3150
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 1.8098510882016037,
|
2266 |
+
"grad_norm": 11.285879135131836,
|
2267 |
+
"learning_rate": 6.641368552840088e-08,
|
2268 |
+
"loss": 0.7741,
|
2269 |
+
"step": 3160
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 1.8155784650630011,
|
2273 |
+
"grad_norm": 8.553770065307617,
|
2274 |
+
"learning_rate": 6.250071798778117e-08,
|
2275 |
+
"loss": 0.7114,
|
2276 |
+
"step": 3170
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 1.8213058419243986,
|
2280 |
+
"grad_norm": 8.297019004821777,
|
2281 |
+
"learning_rate": 5.870409765960966e-08,
|
2282 |
+
"loss": 0.761,
|
2283 |
+
"step": 3180
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 1.827033218785796,
|
2287 |
+
"grad_norm": 9.877187728881836,
|
2288 |
+
"learning_rate": 5.502413183182592e-08,
|
2289 |
+
"loss": 0.7156,
|
2290 |
+
"step": 3190
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 1.8327605956471937,
|
2294 |
+
"grad_norm": 11.764557838439941,
|
2295 |
+
"learning_rate": 5.146111835067646e-08,
|
2296 |
+
"loss": 0.6779,
|
2297 |
+
"step": 3200
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 1.8384879725085912,
|
2301 |
+
"grad_norm": 11.132621765136719,
|
2302 |
+
"learning_rate": 4.8015345596608805e-08,
|
2303 |
+
"loss": 0.7472,
|
2304 |
+
"step": 3210
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 1.8442153493699887,
|
2308 |
+
"grad_norm": 11.750364303588867,
|
2309 |
+
"learning_rate": 4.468709246093133e-08,
|
2310 |
+
"loss": 0.6553,
|
2311 |
+
"step": 3220
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 1.8499427262313861,
|
2315 |
+
"grad_norm": 14.244782447814941,
|
2316 |
+
"learning_rate": 4.147662832323884e-08,
|
2317 |
+
"loss": 0.8058,
|
2318 |
+
"step": 3230
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 1.8556701030927836,
|
2322 |
+
"grad_norm": 10.789249420166016,
|
2323 |
+
"learning_rate": 3.838421302961098e-08,
|
2324 |
+
"loss": 0.7955,
|
2325 |
+
"step": 3240
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 1.861397479954181,
|
2329 |
+
"grad_norm": 9.885890007019043,
|
2330 |
+
"learning_rate": 3.541009687158109e-08,
|
2331 |
+
"loss": 0.6453,
|
2332 |
+
"step": 3250
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 1.8671248568155785,
|
2336 |
+
"grad_norm": 9.926796913146973,
|
2337 |
+
"learning_rate": 3.255452056587754e-08,
|
2338 |
+
"loss": 0.7055,
|
2339 |
+
"step": 3260
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 1.872852233676976,
|
2343 |
+
"grad_norm": 12.368999481201172,
|
2344 |
+
"learning_rate": 2.98177152349417e-08,
|
2345 |
+
"loss": 0.6359,
|
2346 |
+
"step": 3270
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 1.8785796105383734,
|
2350 |
+
"grad_norm": 10.849148750305176,
|
2351 |
+
"learning_rate": 2.7199902388220343e-08,
|
2352 |
+
"loss": 0.6735,
|
2353 |
+
"step": 3280
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 1.8843069873997709,
|
2357 |
+
"grad_norm": 12.963729858398438,
|
2358 |
+
"learning_rate": 2.47012939042387e-08,
|
2359 |
+
"loss": 0.6878,
|
2360 |
+
"step": 3290
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 1.8900343642611683,
|
2364 |
+
"grad_norm": 10.135659217834473,
|
2365 |
+
"learning_rate": 2.2322092013450313e-08,
|
2366 |
+
"loss": 0.657,
|
2367 |
+
"step": 3300
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 1.8957617411225658,
|
2371 |
+
"grad_norm": 16.199338912963867,
|
2372 |
+
"learning_rate": 2.0062489281870156e-08,
|
2373 |
+
"loss": 0.8076,
|
2374 |
+
"step": 3310
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 1.9014891179839633,
|
2378 |
+
"grad_norm": 12.090662002563477,
|
2379 |
+
"learning_rate": 1.7922668595487744e-08,
|
2380 |
+
"loss": 0.7334,
|
2381 |
+
"step": 3320
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 1.9072164948453607,
|
2385 |
+
"grad_norm": 10.486949920654297,
|
2386 |
+
"learning_rate": 1.5902803145465994e-08,
|
2387 |
+
"loss": 0.7883,
|
2388 |
+
"step": 3330
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 1.9129438717067582,
|
2392 |
+
"grad_norm": 8.531800270080566,
|
2393 |
+
"learning_rate": 1.4003056414122583e-08,
|
2394 |
+
"loss": 0.6773,
|
2395 |
+
"step": 3340
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 1.9186712485681556,
|
2399 |
+
"grad_norm": 10.624215126037598,
|
2400 |
+
"learning_rate": 1.222358216169922e-08,
|
2401 |
+
"loss": 0.6701,
|
2402 |
+
"step": 3350
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 1.9243986254295533,
|
2406 |
+
"grad_norm": 12.858296394348145,
|
2407 |
+
"learning_rate": 1.0564524413915422e-08,
|
2408 |
+
"loss": 0.6576,
|
2409 |
+
"step": 3360
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 1.9301260022909508,
|
2413 |
+
"grad_norm": 10.357311248779297,
|
2414 |
+
"learning_rate": 9.026017450312673e-09,
|
2415 |
+
"loss": 0.5779,
|
2416 |
+
"step": 3370
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 1.9358533791523482,
|
2420 |
+
"grad_norm": 8.941463470458984,
|
2421 |
+
"learning_rate": 7.608185793385458e-09,
|
2422 |
+
"loss": 0.7369,
|
2423 |
+
"step": 3380
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 1.9415807560137457,
|
2427 |
+
"grad_norm": 8.527290344238281,
|
2428 |
+
"learning_rate": 6.311144198503316e-09,
|
2429 |
+
"loss": 0.6539,
|
2430 |
+
"step": 3390
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 1.9473081328751431,
|
2434 |
+
"grad_norm": 9.527642250061035,
|
2435 |
+
"learning_rate": 5.134997644622108e-09,
|
2436 |
+
"loss": 0.6612,
|
2437 |
+
"step": 3400
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 1.9530355097365406,
|
2441 |
+
"grad_norm": 9.823323249816895,
|
2442 |
+
"learning_rate": 4.079841325787981e-09,
|
2443 |
+
"loss": 0.7576,
|
2444 |
+
"step": 3410
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 1.9587628865979383,
|
2448 |
+
"grad_norm": 12.560805320739746,
|
2449 |
+
"learning_rate": 3.145760643432527e-09,
|
2450 |
+
"loss": 0.6648,
|
2451 |
+
"step": 3420
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 1.9644902634593358,
|
2455 |
+
"grad_norm": 11.428935050964355,
|
2456 |
+
"learning_rate": 2.33283119946015e-09,
|
2457 |
+
"loss": 0.7002,
|
2458 |
+
"step": 3430
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 1.9702176403207332,
|
2462 |
+
"grad_norm": 9.424127578735352,
|
2463 |
+
"learning_rate": 1.6411187901297919e-09,
|
2464 |
+
"loss": 0.6452,
|
2465 |
+
"step": 3440
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 1.9759450171821307,
|
2469 |
+
"grad_norm": 10.48491096496582,
|
2470 |
+
"learning_rate": 1.0706794007290243e-09,
|
2471 |
+
"loss": 0.5779,
|
2472 |
+
"step": 3450
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 1.9816723940435281,
|
2476 |
+
"grad_norm": 9.892742156982422,
|
2477 |
+
"learning_rate": 6.215592010426763e-10,
|
2478 |
+
"loss": 0.7057,
|
2479 |
+
"step": 3460
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 1.9873997709049256,
|
2483 |
+
"grad_norm": 10.53469181060791,
|
2484 |
+
"learning_rate": 2.937945416166543e-10,
|
2485 |
+
"loss": 0.684,
|
2486 |
+
"step": 3470
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 1.993127147766323,
|
2490 |
+
"grad_norm": 10.819581031799316,
|
2491 |
+
"learning_rate": 8.741195081479747e-11,
|
2492 |
+
"loss": 0.6306,
|
2493 |
+
"step": 3480
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 1.9988545246277205,
|
2497 |
+
"grad_norm": 13.76382064819336,
|
2498 |
+
"learning_rate": 2.428132672926964e-12,
|
2499 |
+
"loss": 0.6657,
|
2500 |
+
"step": 3490
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 2.0,
|
2504 |
+
"step": 3492,
|
2505 |
+
"total_flos": 8.351047625159475e+16,
|
2506 |
+
"train_loss": 0.9289274918937465,
|
2507 |
+
"train_runtime": 3314.9598,
|
2508 |
+
"train_samples_per_second": 4.212,
|
2509 |
+
"train_steps_per_second": 1.053
|
2510 |
+
}
|
2511 |
+
],
|
2512 |
+
"logging_steps": 10,
|
2513 |
+
"max_steps": 3492,
|
2514 |
+
"num_input_tokens_seen": 0,
|
2515 |
+
"num_train_epochs": 2,
|
2516 |
+
"save_steps": 500,
|
2517 |
+
"stateful_callbacks": {
|
2518 |
+
"TrainerControl": {
|
2519 |
+
"args": {
|
2520 |
+
"should_epoch_stop": false,
|
2521 |
+
"should_evaluate": false,
|
2522 |
+
"should_log": false,
|
2523 |
+
"should_save": true,
|
2524 |
+
"should_training_stop": true
|
2525 |
+
},
|
2526 |
+
"attributes": {}
|
2527 |
+
}
|
2528 |
+
},
|
2529 |
+
"total_flos": 8.351047625159475e+16,
|
2530 |
+
"train_batch_size": 1,
|
2531 |
+
"trial_name": null,
|
2532 |
+
"trial_params": null
|
2533 |
+
}
|