Model save
Browse files- README.md +67 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- runs/Aug28_02-15-27_COE-CS-sv003/events.out.tfevents.1724811721.COE-CS-sv003.3122798.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1751 -0
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- sft
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- generator
|
| 10 |
+
model-index:
|
| 11 |
+
- name: preference_p0.1_seed42_level3_style
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# preference_p0.1_seed42_level3_style
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.3492
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 1e-05
|
| 42 |
+
- train_batch_size: 2
|
| 43 |
+
- eval_batch_size: 1
|
| 44 |
+
- seed: 42
|
| 45 |
+
- distributed_type: multi-GPU
|
| 46 |
+
- num_devices: 4
|
| 47 |
+
- gradient_accumulation_steps: 4
|
| 48 |
+
- total_train_batch_size: 32
|
| 49 |
+
- total_eval_batch_size: 4
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: cosine
|
| 52 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 53 |
+
- num_epochs: 1
|
| 54 |
+
|
| 55 |
+
### Training results
|
| 56 |
+
|
| 57 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 58 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 59 |
+
| 0.3717 | 0.9998 | 1210 | 0.3492 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.43.4
|
| 65 |
+
- Pytorch 2.3.1+cu121
|
| 66 |
+
- Datasets 2.19.1
|
| 67 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.999793431109275,
|
| 3 |
+
"total_flos": 253297038458880.0,
|
| 4 |
+
"train_loss": 0.5434080246066259,
|
| 5 |
+
"train_runtime": 27449.6475,
|
| 6 |
+
"train_samples": 98793,
|
| 7 |
+
"train_samples_per_second": 1.411,
|
| 8 |
+
"train_steps_per_second": 0.044
|
| 9 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"transformers_version": "4.43.4"
|
| 6 |
+
}
|
runs/Aug28_02-15-27_COE-CS-sv003/events.out.tfevents.1724811721.COE-CS-sv003.3122798.0
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 sha256:6240043602408294dbee96beacbe82c34637050ea3f8f58d36d0b4e113089511
|
| 3 |
+
size 57026
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.999793431109275,
|
| 3 |
+
"total_flos": 253297038458880.0,
|
| 4 |
+
"train_loss": 0.5434080246066259,
|
| 5 |
+
"train_runtime": 27449.6475,
|
| 6 |
+
"train_samples": 98793,
|
| 7 |
+
"train_samples_per_second": 1.411,
|
| 8 |
+
"train_steps_per_second": 0.044
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1751 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.999793431109275,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1210,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0008262755629002272,
|
| 13 |
+
"grad_norm": 23.554044233313164,
|
| 14 |
+
"learning_rate": 8.264462809917357e-08,
|
| 15 |
+
"loss": 1.4094,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.004131377814501136,
|
| 20 |
+
"grad_norm": 23.487881173685214,
|
| 21 |
+
"learning_rate": 4.132231404958678e-07,
|
| 22 |
+
"loss": 1.44,
|
| 23 |
+
"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.008262755629002272,
|
| 27 |
+
"grad_norm": 8.324804089201631,
|
| 28 |
+
"learning_rate": 8.264462809917356e-07,
|
| 29 |
+
"loss": 1.3352,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.01239413344350341,
|
| 34 |
+
"grad_norm": 10.482872108095675,
|
| 35 |
+
"learning_rate": 1.2396694214876035e-06,
|
| 36 |
+
"loss": 1.1699,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.016525511258004544,
|
| 41 |
+
"grad_norm": 3.0017247032336667,
|
| 42 |
+
"learning_rate": 1.6528925619834712e-06,
|
| 43 |
+
"loss": 1.0235,
|
| 44 |
+
"step": 20
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.02065688907250568,
|
| 48 |
+
"grad_norm": 2.760976256425166,
|
| 49 |
+
"learning_rate": 2.066115702479339e-06,
|
| 50 |
+
"loss": 0.9675,
|
| 51 |
+
"step": 25
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02478826688700682,
|
| 55 |
+
"grad_norm": 2.376505582612684,
|
| 56 |
+
"learning_rate": 2.479338842975207e-06,
|
| 57 |
+
"loss": 0.9406,
|
| 58 |
+
"step": 30
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.028919644701507954,
|
| 62 |
+
"grad_norm": 2.2154227436349765,
|
| 63 |
+
"learning_rate": 2.8925619834710743e-06,
|
| 64 |
+
"loss": 0.9302,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.03305102251600909,
|
| 69 |
+
"grad_norm": 2.3739150674432445,
|
| 70 |
+
"learning_rate": 3.3057851239669424e-06,
|
| 71 |
+
"loss": 0.8994,
|
| 72 |
+
"step": 40
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.03718240033051023,
|
| 76 |
+
"grad_norm": 2.2109809527940554,
|
| 77 |
+
"learning_rate": 3.71900826446281e-06,
|
| 78 |
+
"loss": 0.8982,
|
| 79 |
+
"step": 45
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04131377814501136,
|
| 83 |
+
"grad_norm": 2.28822301545997,
|
| 84 |
+
"learning_rate": 4.132231404958678e-06,
|
| 85 |
+
"loss": 0.8837,
|
| 86 |
+
"step": 50
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0454451559595125,
|
| 90 |
+
"grad_norm": 2.2559023546514343,
|
| 91 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 92 |
+
"loss": 0.8754,
|
| 93 |
+
"step": 55
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.04957653377401364,
|
| 97 |
+
"grad_norm": 2.2137771037984684,
|
| 98 |
+
"learning_rate": 4.958677685950414e-06,
|
| 99 |
+
"loss": 0.8582,
|
| 100 |
+
"step": 60
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.05370791158851477,
|
| 104 |
+
"grad_norm": 2.373934998656087,
|
| 105 |
+
"learning_rate": 5.371900826446281e-06,
|
| 106 |
+
"loss": 0.8593,
|
| 107 |
+
"step": 65
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.05783928940301591,
|
| 111 |
+
"grad_norm": 2.467630003052232,
|
| 112 |
+
"learning_rate": 5.785123966942149e-06,
|
| 113 |
+
"loss": 0.856,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.06197066721751704,
|
| 118 |
+
"grad_norm": 2.424099124838778,
|
| 119 |
+
"learning_rate": 6.198347107438017e-06,
|
| 120 |
+
"loss": 0.853,
|
| 121 |
+
"step": 75
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.06610204503201818,
|
| 125 |
+
"grad_norm": 2.362990499630114,
|
| 126 |
+
"learning_rate": 6.611570247933885e-06,
|
| 127 |
+
"loss": 0.8383,
|
| 128 |
+
"step": 80
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.07023342284651932,
|
| 132 |
+
"grad_norm": 2.399473277862941,
|
| 133 |
+
"learning_rate": 7.0247933884297525e-06,
|
| 134 |
+
"loss": 0.8318,
|
| 135 |
+
"step": 85
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.07436480066102046,
|
| 139 |
+
"grad_norm": 2.5700793481674755,
|
| 140 |
+
"learning_rate": 7.43801652892562e-06,
|
| 141 |
+
"loss": 0.8303,
|
| 142 |
+
"step": 90
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.07849617847552158,
|
| 146 |
+
"grad_norm": 2.3911560791916466,
|
| 147 |
+
"learning_rate": 7.851239669421489e-06,
|
| 148 |
+
"loss": 0.8283,
|
| 149 |
+
"step": 95
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.08262755629002272,
|
| 153 |
+
"grad_norm": 2.5970628827400057,
|
| 154 |
+
"learning_rate": 8.264462809917356e-06,
|
| 155 |
+
"loss": 0.8249,
|
| 156 |
+
"step": 100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.08675893410452386,
|
| 160 |
+
"grad_norm": 2.3382293960099143,
|
| 161 |
+
"learning_rate": 8.677685950413224e-06,
|
| 162 |
+
"loss": 0.8186,
|
| 163 |
+
"step": 105
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.090890311919025,
|
| 167 |
+
"grad_norm": 2.423365953954326,
|
| 168 |
+
"learning_rate": 9.090909090909091e-06,
|
| 169 |
+
"loss": 0.8202,
|
| 170 |
+
"step": 110
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.09502168973352614,
|
| 174 |
+
"grad_norm": 2.5282725418752694,
|
| 175 |
+
"learning_rate": 9.50413223140496e-06,
|
| 176 |
+
"loss": 0.8122,
|
| 177 |
+
"step": 115
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.09915306754802727,
|
| 181 |
+
"grad_norm": 2.3639158309512522,
|
| 182 |
+
"learning_rate": 9.917355371900828e-06,
|
| 183 |
+
"loss": 0.8127,
|
| 184 |
+
"step": 120
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.1032844453625284,
|
| 188 |
+
"grad_norm": 2.844448120421469,
|
| 189 |
+
"learning_rate": 9.999667111219573e-06,
|
| 190 |
+
"loss": 0.7962,
|
| 191 |
+
"step": 125
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.10741582317702954,
|
| 195 |
+
"grad_norm": 3.443216907128371,
|
| 196 |
+
"learning_rate": 9.998314826517564e-06,
|
| 197 |
+
"loss": 0.8031,
|
| 198 |
+
"step": 130
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.11154720099153068,
|
| 202 |
+
"grad_norm": 2.681450835682187,
|
| 203 |
+
"learning_rate": 9.995922621477252e-06,
|
| 204 |
+
"loss": 0.805,
|
| 205 |
+
"step": 135
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.11567857880603181,
|
| 209 |
+
"grad_norm": 2.41859239043235,
|
| 210 |
+
"learning_rate": 9.99249099380692e-06,
|
| 211 |
+
"loss": 0.7891,
|
| 212 |
+
"step": 140
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.11980995662053295,
|
| 216 |
+
"grad_norm": 2.2320583844472375,
|
| 217 |
+
"learning_rate": 9.988020657471078e-06,
|
| 218 |
+
"loss": 0.7945,
|
| 219 |
+
"step": 145
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.12394133443503408,
|
| 223 |
+
"grad_norm": 2.6404700133557064,
|
| 224 |
+
"learning_rate": 9.98251254254193e-06,
|
| 225 |
+
"loss": 0.7789,
|
| 226 |
+
"step": 150
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.12807271224953523,
|
| 230 |
+
"grad_norm": 2.4700012252546855,
|
| 231 |
+
"learning_rate": 9.97596779500586e-06,
|
| 232 |
+
"loss": 0.7776,
|
| 233 |
+
"step": 155
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.13220409006403636,
|
| 237 |
+
"grad_norm": 2.534567680863635,
|
| 238 |
+
"learning_rate": 9.968387776525009e-06,
|
| 239 |
+
"loss": 0.7665,
|
| 240 |
+
"step": 160
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.13633546787853748,
|
| 244 |
+
"grad_norm": 2.3195785880081274,
|
| 245 |
+
"learning_rate": 9.959774064153977e-06,
|
| 246 |
+
"loss": 0.7633,
|
| 247 |
+
"step": 165
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.14046684569303863,
|
| 251 |
+
"grad_norm": 2.6303462252799124,
|
| 252 |
+
"learning_rate": 9.950128450011706e-06,
|
| 253 |
+
"loss": 0.7587,
|
| 254 |
+
"step": 170
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.14459822350753976,
|
| 258 |
+
"grad_norm": 2.4452240563950687,
|
| 259 |
+
"learning_rate": 9.939452940908627e-06,
|
| 260 |
+
"loss": 0.7627,
|
| 261 |
+
"step": 175
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1487296013220409,
|
| 265 |
+
"grad_norm": 2.3656117475844294,
|
| 266 |
+
"learning_rate": 9.927749757929125e-06,
|
| 267 |
+
"loss": 0.7546,
|
| 268 |
+
"step": 180
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.15286097913654204,
|
| 272 |
+
"grad_norm": 2.307155404533025,
|
| 273 |
+
"learning_rate": 9.915021335969452e-06,
|
| 274 |
+
"loss": 0.744,
|
| 275 |
+
"step": 185
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.15699235695104316,
|
| 279 |
+
"grad_norm": 2.3398594948394127,
|
| 280 |
+
"learning_rate": 9.901270323231114e-06,
|
| 281 |
+
"loss": 0.7423,
|
| 282 |
+
"step": 190
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.1611237347655443,
|
| 286 |
+
"grad_norm": 2.3156292065612214,
|
| 287 |
+
"learning_rate": 9.886499580669917e-06,
|
| 288 |
+
"loss": 0.7396,
|
| 289 |
+
"step": 195
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.16525511258004544,
|
| 293 |
+
"grad_norm": 2.574743453191487,
|
| 294 |
+
"learning_rate": 9.870712181400726e-06,
|
| 295 |
+
"loss": 0.7335,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1693864903945466,
|
| 300 |
+
"grad_norm": 2.339577898310028,
|
| 301 |
+
"learning_rate": 9.853911410058097e-06,
|
| 302 |
+
"loss": 0.7398,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.17351786820904772,
|
| 307 |
+
"grad_norm": 2.489900169912843,
|
| 308 |
+
"learning_rate": 9.836100762112887e-06,
|
| 309 |
+
"loss": 0.7423,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.17764924602354884,
|
| 314 |
+
"grad_norm": 2.5114661447059365,
|
| 315 |
+
"learning_rate": 9.817283943145014e-06,
|
| 316 |
+
"loss": 0.7273,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.18178062383805,
|
| 321 |
+
"grad_norm": 2.4765147278897097,
|
| 322 |
+
"learning_rate": 9.797464868072489e-06,
|
| 323 |
+
"loss": 0.7171,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.18591200165255112,
|
| 328 |
+
"grad_norm": 2.35952144225102,
|
| 329 |
+
"learning_rate": 9.776647660336905e-06,
|
| 330 |
+
"loss": 0.7165,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.19004337946705227,
|
| 335 |
+
"grad_norm": 2.3928640553968115,
|
| 336 |
+
"learning_rate": 9.754836651045538e-06,
|
| 337 |
+
"loss": 0.7228,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.1941747572815534,
|
| 342 |
+
"grad_norm": 2.359655168950183,
|
| 343 |
+
"learning_rate": 9.732036378070243e-06,
|
| 344 |
+
"loss": 0.6999,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.19830613509605455,
|
| 349 |
+
"grad_norm": 2.7166804592398854,
|
| 350 |
+
"learning_rate": 9.708251585103324e-06,
|
| 351 |
+
"loss": 0.6924,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.20243751291055567,
|
| 356 |
+
"grad_norm": 2.6360301220005415,
|
| 357 |
+
"learning_rate": 9.683487220670595e-06,
|
| 358 |
+
"loss": 0.7038,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.2065688907250568,
|
| 363 |
+
"grad_norm": 2.358814454829314,
|
| 364 |
+
"learning_rate": 9.657748437101819e-06,
|
| 365 |
+
"loss": 0.7076,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.21070026853955795,
|
| 370 |
+
"grad_norm": 2.250240362766412,
|
| 371 |
+
"learning_rate": 9.631040589458742e-06,
|
| 372 |
+
"loss": 0.6833,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.21483164635405907,
|
| 377 |
+
"grad_norm": 2.4709639248779083,
|
| 378 |
+
"learning_rate": 9.603369234420944e-06,
|
| 379 |
+
"loss": 0.6751,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.21896302416856023,
|
| 384 |
+
"grad_norm": 2.315474134768072,
|
| 385 |
+
"learning_rate": 9.574740129129767e-06,
|
| 386 |
+
"loss": 0.6988,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.22309440198306135,
|
| 391 |
+
"grad_norm": 2.2090103807004975,
|
| 392 |
+
"learning_rate": 9.545159229990493e-06,
|
| 393 |
+
"loss": 0.6854,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.22722577979756248,
|
| 398 |
+
"grad_norm": 2.366702578463947,
|
| 399 |
+
"learning_rate": 9.514632691433108e-06,
|
| 400 |
+
"loss": 0.6657,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.23135715761206363,
|
| 405 |
+
"grad_norm": 2.298899028385364,
|
| 406 |
+
"learning_rate": 9.483166864631837e-06,
|
| 407 |
+
"loss": 0.663,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.23548853542656475,
|
| 412 |
+
"grad_norm": 2.2714246758736394,
|
| 413 |
+
"learning_rate": 9.450768296183764e-06,
|
| 414 |
+
"loss": 0.6655,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.2396199132410659,
|
| 419 |
+
"grad_norm": 2.1782463852503438,
|
| 420 |
+
"learning_rate": 9.417443726746776e-06,
|
| 421 |
+
"loss": 0.6678,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.24375129105556703,
|
| 426 |
+
"grad_norm": 2.206125943355958,
|
| 427 |
+
"learning_rate": 9.383200089637143e-06,
|
| 428 |
+
"loss": 0.6579,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.24788266887006816,
|
| 433 |
+
"grad_norm": 2.4822099384962133,
|
| 434 |
+
"learning_rate": 9.348044509387022e-06,
|
| 435 |
+
"loss": 0.6688,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.2520140466845693,
|
| 440 |
+
"grad_norm": 2.6347462586981827,
|
| 441 |
+
"learning_rate": 9.311984300262151e-06,
|
| 442 |
+
"loss": 0.6723,
|
| 443 |
+
"step": 305
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.25614542449907046,
|
| 447 |
+
"grad_norm": 2.3969886300206915,
|
| 448 |
+
"learning_rate": 9.275026964740101e-06,
|
| 449 |
+
"loss": 0.6495,
|
| 450 |
+
"step": 310
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2602768023135716,
|
| 454 |
+
"grad_norm": 2.2255060581251733,
|
| 455 |
+
"learning_rate": 9.237180191949347e-06,
|
| 456 |
+
"loss": 0.6548,
|
| 457 |
+
"step": 315
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.2644081801280727,
|
| 461 |
+
"grad_norm": 2.4470079917886585,
|
| 462 |
+
"learning_rate": 9.198451856069514e-06,
|
| 463 |
+
"loss": 0.6402,
|
| 464 |
+
"step": 320
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.26853955794257384,
|
| 468 |
+
"grad_norm": 2.232598978818489,
|
| 469 |
+
"learning_rate": 9.158850014693123e-06,
|
| 470 |
+
"loss": 0.6428,
|
| 471 |
+
"step": 325
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.27267093575707496,
|
| 475 |
+
"grad_norm": 2.2780042831807807,
|
| 476 |
+
"learning_rate": 9.118382907149164e-06,
|
| 477 |
+
"loss": 0.6449,
|
| 478 |
+
"step": 330
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.27680231357157614,
|
| 482 |
+
"grad_norm": 2.250070488730356,
|
| 483 |
+
"learning_rate": 9.077058952788888e-06,
|
| 484 |
+
"loss": 0.6248,
|
| 485 |
+
"step": 335
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.28093369138607727,
|
| 489 |
+
"grad_norm": 2.257817990210915,
|
| 490 |
+
"learning_rate": 9.034886749234112e-06,
|
| 491 |
+
"loss": 0.6287,
|
| 492 |
+
"step": 340
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.2850650692005784,
|
| 496 |
+
"grad_norm": 2.2753575010897373,
|
| 497 |
+
"learning_rate": 8.991875070588449e-06,
|
| 498 |
+
"loss": 0.631,
|
| 499 |
+
"step": 345
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.2891964470150795,
|
| 503 |
+
"grad_norm": 2.5652909583991534,
|
| 504 |
+
"learning_rate": 8.948032865611823e-06,
|
| 505 |
+
"loss": 0.6232,
|
| 506 |
+
"step": 350
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.29332782482958064,
|
| 510 |
+
"grad_norm": 2.3365773173303843,
|
| 511 |
+
"learning_rate": 8.90336925585864e-06,
|
| 512 |
+
"loss": 0.608,
|
| 513 |
+
"step": 355
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.2974592026440818,
|
| 517 |
+
"grad_norm": 2.27141916228481,
|
| 518 |
+
"learning_rate": 8.857893533780015e-06,
|
| 519 |
+
"loss": 0.6048,
|
| 520 |
+
"step": 360
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.30159058045858295,
|
| 524 |
+
"grad_norm": 2.121899092032811,
|
| 525 |
+
"learning_rate": 8.811615160790428e-06,
|
| 526 |
+
"loss": 0.6192,
|
| 527 |
+
"step": 365
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.30572195827308407,
|
| 531 |
+
"grad_norm": 2.210463830947181,
|
| 532 |
+
"learning_rate": 8.764543765299245e-06,
|
| 533 |
+
"loss": 0.611,
|
| 534 |
+
"step": 370
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.3098533360875852,
|
| 538 |
+
"grad_norm": 2.2581243380183835,
|
| 539 |
+
"learning_rate": 8.716689140707488e-06,
|
| 540 |
+
"loss": 0.6116,
|
| 541 |
+
"step": 375
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.3139847139020863,
|
| 545 |
+
"grad_norm": 2.291459985719934,
|
| 546 |
+
"learning_rate": 8.668061243370273e-06,
|
| 547 |
+
"loss": 0.6094,
|
| 548 |
+
"step": 380
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.3181160917165875,
|
| 552 |
+
"grad_norm": 2.242064952311342,
|
| 553 |
+
"learning_rate": 8.61867019052535e-06,
|
| 554 |
+
"loss": 0.6076,
|
| 555 |
+
"step": 385
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.3222474695310886,
|
| 559 |
+
"grad_norm": 2.3770181909891304,
|
| 560 |
+
"learning_rate": 8.568526258188172e-06,
|
| 561 |
+
"loss": 0.6047,
|
| 562 |
+
"step": 390
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.32637884734558975,
|
| 566 |
+
"grad_norm": 2.4304957747194593,
|
| 567 |
+
"learning_rate": 8.517639879013918e-06,
|
| 568 |
+
"loss": 0.6037,
|
| 569 |
+
"step": 395
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.3305102251600909,
|
| 573 |
+
"grad_norm": 2.159929931604691,
|
| 574 |
+
"learning_rate": 8.466021640126946e-06,
|
| 575 |
+
"loss": 0.5924,
|
| 576 |
+
"step": 400
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.334641602974592,
|
| 580 |
+
"grad_norm": 2.181588993237923,
|
| 581 |
+
"learning_rate": 8.413682280918094e-06,
|
| 582 |
+
"loss": 0.5859,
|
| 583 |
+
"step": 405
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.3387729807890932,
|
| 587 |
+
"grad_norm": 2.239848195768108,
|
| 588 |
+
"learning_rate": 8.3606326908103e-06,
|
| 589 |
+
"loss": 0.5808,
|
| 590 |
+
"step": 410
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.3429043586035943,
|
| 594 |
+
"grad_norm": 2.2395305817254165,
|
| 595 |
+
"learning_rate": 8.306883906993022e-06,
|
| 596 |
+
"loss": 0.5805,
|
| 597 |
+
"step": 415
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.34703573641809543,
|
| 601 |
+
"grad_norm": 2.276771540411031,
|
| 602 |
+
"learning_rate": 8.25244711212589e-06,
|
| 603 |
+
"loss": 0.5771,
|
| 604 |
+
"step": 420
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.35116711423259656,
|
| 608 |
+
"grad_norm": 2.2443733616231674,
|
| 609 |
+
"learning_rate": 8.197333632012123e-06,
|
| 610 |
+
"loss": 0.5724,
|
| 611 |
+
"step": 425
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.3552984920470977,
|
| 615 |
+
"grad_norm": 2.266086543452868,
|
| 616 |
+
"learning_rate": 8.141554933242135e-06,
|
| 617 |
+
"loss": 0.5766,
|
| 618 |
+
"step": 430
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.35942986986159886,
|
| 622 |
+
"grad_norm": 2.3440174185212426,
|
| 623 |
+
"learning_rate": 8.08512262080787e-06,
|
| 624 |
+
"loss": 0.5704,
|
| 625 |
+
"step": 435
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.3635612476761,
|
| 629 |
+
"grad_norm": 2.231383713024198,
|
| 630 |
+
"learning_rate": 8.028048435688333e-06,
|
| 631 |
+
"loss": 0.5672,
|
| 632 |
+
"step": 440
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.3676926254906011,
|
| 636 |
+
"grad_norm": 2.210345864732212,
|
| 637 |
+
"learning_rate": 7.970344252406832e-06,
|
| 638 |
+
"loss": 0.5654,
|
| 639 |
+
"step": 445
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.37182400330510224,
|
| 643 |
+
"grad_norm": 2.201487752141703,
|
| 644 |
+
"learning_rate": 7.912022076560426e-06,
|
| 645 |
+
"loss": 0.5608,
|
| 646 |
+
"step": 450
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.37595538111960336,
|
| 650 |
+
"grad_norm": 2.2126765922615017,
|
| 651 |
+
"learning_rate": 7.853094042322121e-06,
|
| 652 |
+
"loss": 0.5676,
|
| 653 |
+
"step": 455
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.38008675893410454,
|
| 657 |
+
"grad_norm": 2.368648057415258,
|
| 658 |
+
"learning_rate": 7.7935724099163e-06,
|
| 659 |
+
"loss": 0.5611,
|
| 660 |
+
"step": 460
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.38421813674860567,
|
| 664 |
+
"grad_norm": 2.249897659892324,
|
| 665 |
+
"learning_rate": 7.733469563067928e-06,
|
| 666 |
+
"loss": 0.5632,
|
| 667 |
+
"step": 465
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.3883495145631068,
|
| 671 |
+
"grad_norm": 2.257196050360634,
|
| 672 |
+
"learning_rate": 7.67279800642607e-06,
|
| 673 |
+
"loss": 0.5414,
|
| 674 |
+
"step": 470
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.3924808923776079,
|
| 678 |
+
"grad_norm": 2.1223073675520125,
|
| 679 |
+
"learning_rate": 7.611570362962247e-06,
|
| 680 |
+
"loss": 0.5421,
|
| 681 |
+
"step": 475
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.3966122701921091,
|
| 685 |
+
"grad_norm": 2.209118984554094,
|
| 686 |
+
"learning_rate": 7.549799371344175e-06,
|
| 687 |
+
"loss": 0.5475,
|
| 688 |
+
"step": 480
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.4007436480066102,
|
| 692 |
+
"grad_norm": 2.070603624522537,
|
| 693 |
+
"learning_rate": 7.487497883285428e-06,
|
| 694 |
+
"loss": 0.5477,
|
| 695 |
+
"step": 485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.40487502582111135,
|
| 699 |
+
"grad_norm": 2.2718749779596097,
|
| 700 |
+
"learning_rate": 7.424678860871584e-06,
|
| 701 |
+
"loss": 0.5384,
|
| 702 |
+
"step": 490
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.40900640363561247,
|
| 706 |
+
"grad_norm": 2.347289860613089,
|
| 707 |
+
"learning_rate": 7.361355373863415e-06,
|
| 708 |
+
"loss": 0.5407,
|
| 709 |
+
"step": 495
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.4131377814501136,
|
| 713 |
+
"grad_norm": 2.491186132317311,
|
| 714 |
+
"learning_rate": 7.297540596977663e-06,
|
| 715 |
+
"loss": 0.5393,
|
| 716 |
+
"step": 500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.4172691592646148,
|
| 720 |
+
"grad_norm": 2.3320063032579177,
|
| 721 |
+
"learning_rate": 7.233247807145989e-06,
|
| 722 |
+
"loss": 0.5311,
|
| 723 |
+
"step": 505
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.4214005370791159,
|
| 727 |
+
"grad_norm": 2.122601227745636,
|
| 728 |
+
"learning_rate": 7.168490380752648e-06,
|
| 729 |
+
"loss": 0.537,
|
| 730 |
+
"step": 510
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.425531914893617,
|
| 734 |
+
"grad_norm": 2.2214499757842865,
|
| 735 |
+
"learning_rate": 7.103281790851483e-06,
|
| 736 |
+
"loss": 0.5338,
|
| 737 |
+
"step": 515
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.42966329270811815,
|
| 741 |
+
"grad_norm": 2.1654002355826494,
|
| 742 |
+
"learning_rate": 7.037635604362786e-06,
|
| 743 |
+
"loss": 0.5188,
|
| 744 |
+
"step": 520
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.4337946705226193,
|
| 748 |
+
"grad_norm": 2.1599888645905847,
|
| 749 |
+
"learning_rate": 6.971565479250659e-06,
|
| 750 |
+
"loss": 0.5321,
|
| 751 |
+
"step": 525
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.43792604833712045,
|
| 755 |
+
"grad_norm": 2.4521064066537,
|
| 756 |
+
"learning_rate": 6.905085161681408e-06,
|
| 757 |
+
"loss": 0.5137,
|
| 758 |
+
"step": 530
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.4420574261516216,
|
| 762 |
+
"grad_norm": 2.0735269808191563,
|
| 763 |
+
"learning_rate": 6.838208483163601e-06,
|
| 764 |
+
"loss": 0.5181,
|
| 765 |
+
"step": 535
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.4461888039661227,
|
| 769 |
+
"grad_norm": 2.1964532327451307,
|
| 770 |
+
"learning_rate": 6.770949357670358e-06,
|
| 771 |
+
"loss": 0.5079,
|
| 772 |
+
"step": 540
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.45032018178062383,
|
| 776 |
+
"grad_norm": 2.1721038727423996,
|
| 777 |
+
"learning_rate": 6.703321778744495e-06,
|
| 778 |
+
"loss": 0.5169,
|
| 779 |
+
"step": 545
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.45445155959512495,
|
| 783 |
+
"grad_norm": 2.083001885275941,
|
| 784 |
+
"learning_rate": 6.635339816587109e-06,
|
| 785 |
+
"loss": 0.5189,
|
| 786 |
+
"step": 550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.45858293740962613,
|
| 790 |
+
"grad_norm": 2.2406805358253523,
|
| 791 |
+
"learning_rate": 6.5670176151302136e-06,
|
| 792 |
+
"loss": 0.5056,
|
| 793 |
+
"step": 555
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.46271431522412726,
|
| 797 |
+
"grad_norm": 2.362515256614418,
|
| 798 |
+
"learning_rate": 6.4983693890940335e-06,
|
| 799 |
+
"loss": 0.5068,
|
| 800 |
+
"step": 560
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.4668456930386284,
|
| 804 |
+
"grad_norm": 2.073329405987291,
|
| 805 |
+
"learning_rate": 6.4294094210295725e-06,
|
| 806 |
+
"loss": 0.5146,
|
| 807 |
+
"step": 565
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.4709770708531295,
|
| 811 |
+
"grad_norm": 2.0802359451245276,
|
| 812 |
+
"learning_rate": 6.360152058347068e-06,
|
| 813 |
+
"loss": 0.4993,
|
| 814 |
+
"step": 570
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.47510844866763063,
|
| 818 |
+
"grad_norm": 2.205382348988315,
|
| 819 |
+
"learning_rate": 6.290611710330957e-06,
|
| 820 |
+
"loss": 0.5056,
|
| 821 |
+
"step": 575
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.4792398264821318,
|
| 825 |
+
"grad_norm": 2.106317834822583,
|
| 826 |
+
"learning_rate": 6.2208028451419575e-06,
|
| 827 |
+
"loss": 0.4939,
|
| 828 |
+
"step": 580
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.48337120429663294,
|
| 832 |
+
"grad_norm": 2.0997265512356953,
|
| 833 |
+
"learning_rate": 6.150739986806911e-06,
|
| 834 |
+
"loss": 0.4904,
|
| 835 |
+
"step": 585
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.48750258211113406,
|
| 839 |
+
"grad_norm": 2.087397537314153,
|
| 840 |
+
"learning_rate": 6.0804377121969985e-06,
|
| 841 |
+
"loss": 0.4903,
|
| 842 |
+
"step": 590
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.4916339599256352,
|
| 846 |
+
"grad_norm": 2.1772365057315834,
|
| 847 |
+
"learning_rate": 6.009910647994956e-06,
|
| 848 |
+
"loss": 0.5043,
|
| 849 |
+
"step": 595
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.4957653377401363,
|
| 853 |
+
"grad_norm": 2.0357765671221872,
|
| 854 |
+
"learning_rate": 5.939173467651942e-06,
|
| 855 |
+
"loss": 0.4916,
|
| 856 |
+
"step": 600
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.4998967155546375,
|
| 860 |
+
"grad_norm": 2.140953972933528,
|
| 861 |
+
"learning_rate": 5.8682408883346535e-06,
|
| 862 |
+
"loss": 0.4881,
|
| 863 |
+
"step": 605
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.5040280933691386,
|
| 867 |
+
"grad_norm": 2.133259953600996,
|
| 868 |
+
"learning_rate": 5.7971276678633625e-06,
|
| 869 |
+
"loss": 0.4925,
|
| 870 |
+
"step": 610
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.5081594711836398,
|
| 874 |
+
"grad_norm": 2.0897840178036753,
|
| 875 |
+
"learning_rate": 5.725848601641492e-06,
|
| 876 |
+
"loss": 0.4909,
|
| 877 |
+
"step": 615
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.5122908489981409,
|
| 881 |
+
"grad_norm": 2.1033344267926553,
|
| 882 |
+
"learning_rate": 5.654418519577369e-06,
|
| 883 |
+
"loss": 0.4808,
|
| 884 |
+
"step": 620
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.516422226812642,
|
| 888 |
+
"grad_norm": 2.0931483592499927,
|
| 889 |
+
"learning_rate": 5.5828522829987965e-06,
|
| 890 |
+
"loss": 0.4697,
|
| 891 |
+
"step": 625
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.5205536046271432,
|
| 895 |
+
"grad_norm": 2.0194919084584444,
|
| 896 |
+
"learning_rate": 5.511164781561096e-06,
|
| 897 |
+
"loss": 0.479,
|
| 898 |
+
"step": 630
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.5246849824416443,
|
| 902 |
+
"grad_norm": 2.070247481858063,
|
| 903 |
+
"learning_rate": 5.439370930149252e-06,
|
| 904 |
+
"loss": 0.4705,
|
| 905 |
+
"step": 635
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.5288163602561454,
|
| 909 |
+
"grad_norm": 2.060542153916691,
|
| 910 |
+
"learning_rate": 5.367485665774802e-06,
|
| 911 |
+
"loss": 0.4689,
|
| 912 |
+
"step": 640
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.5329477380706465,
|
| 916 |
+
"grad_norm": 2.171769190139748,
|
| 917 |
+
"learning_rate": 5.295523944468137e-06,
|
| 918 |
+
"loss": 0.4678,
|
| 919 |
+
"step": 645
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.5370791158851477,
|
| 923 |
+
"grad_norm": 2.437387629266701,
|
| 924 |
+
"learning_rate": 5.223500738166837e-06,
|
| 925 |
+
"loss": 0.4723,
|
| 926 |
+
"step": 650
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.5412104936996488,
|
| 930 |
+
"grad_norm": 2.139213174417897,
|
| 931 |
+
"learning_rate": 5.1514310316006835e-06,
|
| 932 |
+
"loss": 0.472,
|
| 933 |
+
"step": 655
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.5453418715141499,
|
| 937 |
+
"grad_norm": 2.083008247659044,
|
| 938 |
+
"learning_rate": 5.07932981917404e-06,
|
| 939 |
+
"loss": 0.4684,
|
| 940 |
+
"step": 660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.5494732493286512,
|
| 944 |
+
"grad_norm": 2.161242770803335,
|
| 945 |
+
"learning_rate": 5.007212101846194e-06,
|
| 946 |
+
"loss": 0.4587,
|
| 947 |
+
"step": 665
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.5536046271431523,
|
| 951 |
+
"grad_norm": 2.0500783532272604,
|
| 952 |
+
"learning_rate": 4.935092884010347e-06,
|
| 953 |
+
"loss": 0.4611,
|
| 954 |
+
"step": 670
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.5577360049576534,
|
| 958 |
+
"grad_norm": 2.1439435869325116,
|
| 959 |
+
"learning_rate": 4.8629871703718844e-06,
|
| 960 |
+
"loss": 0.4622,
|
| 961 |
+
"step": 675
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.5618673827721545,
|
| 965 |
+
"grad_norm": 2.066743306657874,
|
| 966 |
+
"learning_rate": 4.7909099628265946e-06,
|
| 967 |
+
"loss": 0.4672,
|
| 968 |
+
"step": 680
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.5659987605866557,
|
| 972 |
+
"grad_norm": 2.0461947863660574,
|
| 973 |
+
"learning_rate": 4.718876257339444e-06,
|
| 974 |
+
"loss": 0.4512,
|
| 975 |
+
"step": 685
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.5701301384011568,
|
| 979 |
+
"grad_norm": 2.13397891500544,
|
| 980 |
+
"learning_rate": 4.646901040824622e-06,
|
| 981 |
+
"loss": 0.4568,
|
| 982 |
+
"step": 690
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.5742615162156579,
|
| 986 |
+
"grad_norm": 2.038909744378958,
|
| 987 |
+
"learning_rate": 4.574999288027437e-06,
|
| 988 |
+
"loss": 0.4505,
|
| 989 |
+
"step": 695
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.578392894030159,
|
| 993 |
+
"grad_norm": 2.061119461177199,
|
| 994 |
+
"learning_rate": 4.503185958408767e-06,
|
| 995 |
+
"loss": 0.4536,
|
| 996 |
+
"step": 700
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.5825242718446602,
|
| 1000 |
+
"grad_norm": 2.147709730965502,
|
| 1001 |
+
"learning_rate": 4.431475993032673e-06,
|
| 1002 |
+
"loss": 0.4567,
|
| 1003 |
+
"step": 705
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.5866556496591613,
|
| 1007 |
+
"grad_norm": 2.0471799173895078,
|
| 1008 |
+
"learning_rate": 4.359884311457857e-06,
|
| 1009 |
+
"loss": 0.452,
|
| 1010 |
+
"step": 710
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.5907870274736625,
|
| 1014 |
+
"grad_norm": 2.096762090340259,
|
| 1015 |
+
"learning_rate": 4.2884258086335755e-06,
|
| 1016 |
+
"loss": 0.4407,
|
| 1017 |
+
"step": 715
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.5949184052881636,
|
| 1021 |
+
"grad_norm": 2.1776523990414436,
|
| 1022 |
+
"learning_rate": 4.217115351800693e-06,
|
| 1023 |
+
"loss": 0.4364,
|
| 1024 |
+
"step": 720
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.5990497831026648,
|
| 1028 |
+
"grad_norm": 2.148545496231866,
|
| 1029 |
+
"learning_rate": 4.145967777398481e-06,
|
| 1030 |
+
"loss": 0.4407,
|
| 1031 |
+
"step": 725
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.6031811609171659,
|
| 1035 |
+
"grad_norm": 2.0382917606214326,
|
| 1036 |
+
"learning_rate": 4.074997887977843e-06,
|
| 1037 |
+
"loss": 0.4339,
|
| 1038 |
+
"step": 730
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.607312538731667,
|
| 1042 |
+
"grad_norm": 2.096587532898138,
|
| 1043 |
+
"learning_rate": 4.004220449121574e-06,
|
| 1044 |
+
"loss": 0.4337,
|
| 1045 |
+
"step": 735
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.6114439165461681,
|
| 1049 |
+
"grad_norm": 2.0260734306608272,
|
| 1050 |
+
"learning_rate": 3.933650186372329e-06,
|
| 1051 |
+
"loss": 0.4297,
|
| 1052 |
+
"step": 740
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.6155752943606693,
|
| 1056 |
+
"grad_norm": 2.0747974830236116,
|
| 1057 |
+
"learning_rate": 3.863301782168896e-06,
|
| 1058 |
+
"loss": 0.4362,
|
| 1059 |
+
"step": 745
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.6197066721751704,
|
| 1063 |
+
"grad_norm": 2.1542278120116154,
|
| 1064 |
+
"learning_rate": 3.7931898727914723e-06,
|
| 1065 |
+
"loss": 0.4413,
|
| 1066 |
+
"step": 750
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.6238380499896715,
|
| 1070 |
+
"grad_norm": 1.9775710411271903,
|
| 1071 |
+
"learning_rate": 3.7233290453165127e-06,
|
| 1072 |
+
"loss": 0.4273,
|
| 1073 |
+
"step": 755
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.6279694278041726,
|
| 1077 |
+
"grad_norm": 2.034389521374345,
|
| 1078 |
+
"learning_rate": 3.6537338345818273e-06,
|
| 1079 |
+
"loss": 0.4312,
|
| 1080 |
+
"step": 760
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.6321008056186739,
|
| 1084 |
+
"grad_norm": 2.059316170572532,
|
| 1085 |
+
"learning_rate": 3.5844187201625567e-06,
|
| 1086 |
+
"loss": 0.4301,
|
| 1087 |
+
"step": 765
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.636232183433175,
|
| 1091 |
+
"grad_norm": 2.0806349809281235,
|
| 1092 |
+
"learning_rate": 3.5153981233586277e-06,
|
| 1093 |
+
"loss": 0.4234,
|
| 1094 |
+
"step": 770
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.6403635612476761,
|
| 1098 |
+
"grad_norm": 2.1474742343641933,
|
| 1099 |
+
"learning_rate": 3.446686404194337e-06,
|
| 1100 |
+
"loss": 0.4228,
|
| 1101 |
+
"step": 775
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.6444949390621773,
|
| 1105 |
+
"grad_norm": 2.141080032663376,
|
| 1106 |
+
"learning_rate": 3.3782978584307035e-06,
|
| 1107 |
+
"loss": 0.4179,
|
| 1108 |
+
"step": 780
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.6486263168766784,
|
| 1112 |
+
"grad_norm": 2.0266388142571876,
|
| 1113 |
+
"learning_rate": 3.310246714591162e-06,
|
| 1114 |
+
"loss": 0.4197,
|
| 1115 |
+
"step": 785
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.6527576946911795,
|
| 1119 |
+
"grad_norm": 2.1015063906736873,
|
| 1120 |
+
"learning_rate": 3.2425471310012645e-06,
|
| 1121 |
+
"loss": 0.4224,
|
| 1122 |
+
"step": 790
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.6568890725056806,
|
| 1126 |
+
"grad_norm": 2.0688211913933126,
|
| 1127 |
+
"learning_rate": 3.1752131928429787e-06,
|
| 1128 |
+
"loss": 0.4148,
|
| 1129 |
+
"step": 795
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.6610204503201818,
|
| 1133 |
+
"grad_norm": 2.020342446426012,
|
| 1134 |
+
"learning_rate": 3.1082589092242116e-06,
|
| 1135 |
+
"loss": 0.4209,
|
| 1136 |
+
"step": 800
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.6651518281346829,
|
| 1140 |
+
"grad_norm": 2.050265450999902,
|
| 1141 |
+
"learning_rate": 3.041698210264149e-06,
|
| 1142 |
+
"loss": 0.4086,
|
| 1143 |
+
"step": 805
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.669283205949184,
|
| 1147 |
+
"grad_norm": 2.0414704146915117,
|
| 1148 |
+
"learning_rate": 2.9755449441950434e-06,
|
| 1149 |
+
"loss": 0.424,
|
| 1150 |
+
"step": 810
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.6734145837636852,
|
| 1154 |
+
"grad_norm": 2.0309738852976924,
|
| 1155 |
+
"learning_rate": 2.9098128744810245e-06,
|
| 1156 |
+
"loss": 0.4136,
|
| 1157 |
+
"step": 815
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.6775459615781864,
|
| 1161 |
+
"grad_norm": 2.123876449787772,
|
| 1162 |
+
"learning_rate": 2.84451567695456e-06,
|
| 1163 |
+
"loss": 0.4213,
|
| 1164 |
+
"step": 820
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.6816773393926875,
|
| 1168 |
+
"grad_norm": 2.1356187469686043,
|
| 1169 |
+
"learning_rate": 2.7796669369711294e-06,
|
| 1170 |
+
"loss": 0.4216,
|
| 1171 |
+
"step": 825
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.6858087172071886,
|
| 1175 |
+
"grad_norm": 2.06757675819696,
|
| 1176 |
+
"learning_rate": 2.715280146582752e-06,
|
| 1177 |
+
"loss": 0.4192,
|
| 1178 |
+
"step": 830
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.6899400950216897,
|
| 1182 |
+
"grad_norm": 2.0954350411098916,
|
| 1183 |
+
"learning_rate": 2.651368701730889e-06,
|
| 1184 |
+
"loss": 0.4077,
|
| 1185 |
+
"step": 835
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.6940714728361909,
|
| 1189 |
+
"grad_norm": 1.9490264079119275,
|
| 1190 |
+
"learning_rate": 2.5879458994593786e-06,
|
| 1191 |
+
"loss": 0.4018,
|
| 1192 |
+
"step": 840
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.698202850650692,
|
| 1196 |
+
"grad_norm": 1.9862703131789983,
|
| 1197 |
+
"learning_rate": 2.5250249351479206e-06,
|
| 1198 |
+
"loss": 0.4127,
|
| 1199 |
+
"step": 845
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.7023342284651931,
|
| 1203 |
+
"grad_norm": 1.9907644914298972,
|
| 1204 |
+
"learning_rate": 2.4626188997667224e-06,
|
| 1205 |
+
"loss": 0.4057,
|
| 1206 |
+
"step": 850
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.7064656062796942,
|
| 1210 |
+
"grad_norm": 2.0178385478283,
|
| 1211 |
+
"learning_rate": 2.400740777152874e-06,
|
| 1212 |
+
"loss": 0.405,
|
| 1213 |
+
"step": 855
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.7105969840941954,
|
| 1217 |
+
"grad_norm": 2.0040936929718627,
|
| 1218 |
+
"learning_rate": 2.3394034413090015e-06,
|
| 1219 |
+
"loss": 0.4054,
|
| 1220 |
+
"step": 860
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.7147283619086966,
|
| 1224 |
+
"grad_norm": 2.0032870121182516,
|
| 1225 |
+
"learning_rate": 2.278619653724781e-06,
|
| 1226 |
+
"loss": 0.4025,
|
| 1227 |
+
"step": 865
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.7188597397231977,
|
| 1231 |
+
"grad_norm": 2.0315969629289867,
|
| 1232 |
+
"learning_rate": 2.218402060721845e-06,
|
| 1233 |
+
"loss": 0.3929,
|
| 1234 |
+
"step": 870
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.7229911175376988,
|
| 1238 |
+
"grad_norm": 2.0727282353845626,
|
| 1239 |
+
"learning_rate": 2.1587631908226812e-06,
|
| 1240 |
+
"loss": 0.3986,
|
| 1241 |
+
"step": 875
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.7271224953522,
|
| 1245 |
+
"grad_norm": 1.9152876057461066,
|
| 1246 |
+
"learning_rate": 2.09971545214401e-06,
|
| 1247 |
+
"loss": 0.3915,
|
| 1248 |
+
"step": 880
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.7312538731667011,
|
| 1252 |
+
"grad_norm": 2.006764866181322,
|
| 1253 |
+
"learning_rate": 2.04127112981522e-06,
|
| 1254 |
+
"loss": 0.3972,
|
| 1255 |
+
"step": 885
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.7353852509812022,
|
| 1259 |
+
"grad_norm": 2.009533139724546,
|
| 1260 |
+
"learning_rate": 1.9834423834224014e-06,
|
| 1261 |
+
"loss": 0.3952,
|
| 1262 |
+
"step": 890
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.7395166287957033,
|
| 1266 |
+
"grad_norm": 1.9136982154678623,
|
| 1267 |
+
"learning_rate": 1.926241244478496e-06,
|
| 1268 |
+
"loss": 0.3894,
|
| 1269 |
+
"step": 895
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.7436480066102045,
|
| 1273 |
+
"grad_norm": 1.9940424884511188,
|
| 1274 |
+
"learning_rate": 1.8696796139200852e-06,
|
| 1275 |
+
"loss": 0.3964,
|
| 1276 |
+
"step": 900
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.7477793844247056,
|
| 1280 |
+
"grad_norm": 1.9232507318610614,
|
| 1281 |
+
"learning_rate": 1.8137692596313528e-06,
|
| 1282 |
+
"loss": 0.39,
|
| 1283 |
+
"step": 905
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.7519107622392067,
|
| 1287 |
+
"grad_norm": 1.9669358048444339,
|
| 1288 |
+
"learning_rate": 1.7585218139957205e-06,
|
| 1289 |
+
"loss": 0.4089,
|
| 1290 |
+
"step": 910
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.756042140053708,
|
| 1294 |
+
"grad_norm": 2.0275135426829007,
|
| 1295 |
+
"learning_rate": 1.7039487714756953e-06,
|
| 1296 |
+
"loss": 0.3897,
|
| 1297 |
+
"step": 915
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.7601735178682091,
|
| 1301 |
+
"grad_norm": 1.9145558326260135,
|
| 1302 |
+
"learning_rate": 1.6500614862213866e-06,
|
| 1303 |
+
"loss": 0.3845,
|
| 1304 |
+
"step": 920
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.7643048956827102,
|
| 1308 |
+
"grad_norm": 1.946476089351215,
|
| 1309 |
+
"learning_rate": 1.596871169708235e-06,
|
| 1310 |
+
"loss": 0.3827,
|
| 1311 |
+
"step": 925
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.7684362734972113,
|
| 1315 |
+
"grad_norm": 2.061234713938133,
|
| 1316 |
+
"learning_rate": 1.54438888840441e-06,
|
| 1317 |
+
"loss": 0.3865,
|
| 1318 |
+
"step": 930
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.7725676513117125,
|
| 1322 |
+
"grad_norm": 2.0046087896210993,
|
| 1323 |
+
"learning_rate": 1.4926255614683931e-06,
|
| 1324 |
+
"loss": 0.3919,
|
| 1325 |
+
"step": 935
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.7766990291262136,
|
| 1329 |
+
"grad_norm": 2.013100573926538,
|
| 1330 |
+
"learning_rate": 1.4415919584771999e-06,
|
| 1331 |
+
"loss": 0.3791,
|
| 1332 |
+
"step": 940
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.7808304069407147,
|
| 1336 |
+
"grad_norm": 2.052665994161596,
|
| 1337 |
+
"learning_rate": 1.3912986971857168e-06,
|
| 1338 |
+
"loss": 0.3813,
|
| 1339 |
+
"step": 945
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.7849617847552158,
|
| 1343 |
+
"grad_norm": 1.9665758334089818,
|
| 1344 |
+
"learning_rate": 1.3417562413176405e-06,
|
| 1345 |
+
"loss": 0.3743,
|
| 1346 |
+
"step": 950
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.789093162569717,
|
| 1350 |
+
"grad_norm": 1.9653082426188921,
|
| 1351 |
+
"learning_rate": 1.292974898388456e-06,
|
| 1352 |
+
"loss": 0.3884,
|
| 1353 |
+
"step": 955
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.7932245403842182,
|
| 1357 |
+
"grad_norm": 2.1523771874487707,
|
| 1358 |
+
"learning_rate": 1.2449648175609115e-06,
|
| 1359 |
+
"loss": 0.383,
|
| 1360 |
+
"step": 960
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.7973559181987193,
|
| 1364 |
+
"grad_norm": 1.8532885315782601,
|
| 1365 |
+
"learning_rate": 1.1977359875334454e-06,
|
| 1366 |
+
"loss": 0.3812,
|
| 1367 |
+
"step": 965
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.8014872960132204,
|
| 1371 |
+
"grad_norm": 2.0616460511941477,
|
| 1372 |
+
"learning_rate": 1.1512982344619904e-06,
|
| 1373 |
+
"loss": 0.3742,
|
| 1374 |
+
"step": 970
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.8056186738277216,
|
| 1378 |
+
"grad_norm": 2.000103259130858,
|
| 1379 |
+
"learning_rate": 1.1056612199156093e-06,
|
| 1380 |
+
"loss": 0.3795,
|
| 1381 |
+
"step": 975
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.8097500516422227,
|
| 1385 |
+
"grad_norm": 2.0764477975903404,
|
| 1386 |
+
"learning_rate": 1.0608344388663576e-06,
|
| 1387 |
+
"loss": 0.3732,
|
| 1388 |
+
"step": 980
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.8138814294567238,
|
| 1392 |
+
"grad_norm": 2.0844020934084315,
|
| 1393 |
+
"learning_rate": 1.01682721771382e-06,
|
| 1394 |
+
"loss": 0.3738,
|
| 1395 |
+
"step": 985
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.8180128072712249,
|
| 1399 |
+
"grad_norm": 2.050710610881507,
|
| 1400 |
+
"learning_rate": 9.73648712344707e-07,
|
| 1401 |
+
"loss": 0.373,
|
| 1402 |
+
"step": 990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.8221441850857261,
|
| 1406 |
+
"grad_norm": 2.068871529971891,
|
| 1407 |
+
"learning_rate": 9.313079062279429e-07,
|
| 1408 |
+
"loss": 0.3852,
|
| 1409 |
+
"step": 995
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.8262755629002272,
|
| 1413 |
+
"grad_norm": 1.9622479084933468,
|
| 1414 |
+
"learning_rate": 8.898136085456127e-07,
|
| 1415 |
+
"loss": 0.3839,
|
| 1416 |
+
"step": 1000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.8304069407147283,
|
| 1420 |
+
"grad_norm": 2.0489239754877913,
|
| 1421 |
+
"learning_rate": 8.491744523601741e-07,
|
| 1422 |
+
"loss": 0.3789,
|
| 1423 |
+
"step": 1005
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.8345383185292296,
|
| 1427 |
+
"grad_norm": 1.97405744731925,
|
| 1428 |
+
"learning_rate": 8.093988928183127e-07,
|
| 1429 |
+
"loss": 0.3659,
|
| 1430 |
+
"step": 1010
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.8386696963437307,
|
| 1434 |
+
"grad_norm": 2.0649700701955966,
|
| 1435 |
+
"learning_rate": 7.70495205391818e-07,
|
| 1436 |
+
"loss": 0.3684,
|
| 1437 |
+
"step": 1015
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.8428010741582318,
|
| 1441 |
+
"grad_norm": 1.9711762707705944,
|
| 1442 |
+
"learning_rate": 7.324714841558322e-07,
|
| 1443 |
+
"loss": 0.3728,
|
| 1444 |
+
"step": 1020
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.8469324519727329,
|
| 1448 |
+
"grad_norm": 2.089515078127623,
|
| 1449 |
+
"learning_rate": 6.953356401048466e-07,
|
| 1450 |
+
"loss": 0.361,
|
| 1451 |
+
"step": 1025
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.851063829787234,
|
| 1455 |
+
"grad_norm": 2.0969140211573536,
|
| 1456 |
+
"learning_rate": 6.590953995067812e-07,
|
| 1457 |
+
"loss": 0.3621,
|
| 1458 |
+
"step": 1030
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.8551952076017352,
|
| 1462 |
+
"grad_norm": 2.014897877209678,
|
| 1463 |
+
"learning_rate": 6.237583022955079e-07,
|
| 1464 |
+
"loss": 0.377,
|
| 1465 |
+
"step": 1035
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.8593265854162363,
|
| 1469 |
+
"grad_norm": 2.0616530107992617,
|
| 1470 |
+
"learning_rate": 5.89331700502136e-07,
|
| 1471 |
+
"loss": 0.373,
|
| 1472 |
+
"step": 1040
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.8634579632307374,
|
| 1476 |
+
"grad_norm": 2.0017552200191164,
|
| 1477 |
+
"learning_rate": 5.558227567253832e-07,
|
| 1478 |
+
"loss": 0.3738,
|
| 1479 |
+
"step": 1045
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.8675893410452385,
|
| 1483 |
+
"grad_norm": 2.0884355733341415,
|
| 1484 |
+
"learning_rate": 5.232384426413772e-07,
|
| 1485 |
+
"loss": 0.3625,
|
| 1486 |
+
"step": 1050
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.8717207188597397,
|
| 1490 |
+
"grad_norm": 2.111748293695631,
|
| 1491 |
+
"learning_rate": 4.915855375531642e-07,
|
| 1492 |
+
"loss": 0.3789,
|
| 1493 |
+
"step": 1055
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.8758520966742409,
|
| 1497 |
+
"grad_norm": 2.0363025293506305,
|
| 1498 |
+
"learning_rate": 4.608706269802471e-07,
|
| 1499 |
+
"loss": 0.3615,
|
| 1500 |
+
"step": 1060
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.879983474488742,
|
| 1504 |
+
"grad_norm": 2.0861363712497742,
|
| 1505 |
+
"learning_rate": 4.3110010128843747e-07,
|
| 1506 |
+
"loss": 0.3803,
|
| 1507 |
+
"step": 1065
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.8841148523032432,
|
| 1511 |
+
"grad_norm": 1.9794223337927541,
|
| 1512 |
+
"learning_rate": 4.022801543603194e-07,
|
| 1513 |
+
"loss": 0.37,
|
| 1514 |
+
"step": 1070
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.8882462301177443,
|
| 1518 |
+
"grad_norm": 1.976468279453303,
|
| 1519 |
+
"learning_rate": 3.744167823065814e-07,
|
| 1520 |
+
"loss": 0.3511,
|
| 1521 |
+
"step": 1075
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.8923776079322454,
|
| 1525 |
+
"grad_norm": 2.0814002530931583,
|
| 1526 |
+
"learning_rate": 3.4751578221850377e-07,
|
| 1527 |
+
"loss": 0.3611,
|
| 1528 |
+
"step": 1080
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.8965089857467465,
|
| 1532 |
+
"grad_norm": 2.0984819483954844,
|
| 1533 |
+
"learning_rate": 3.2158275096184744e-07,
|
| 1534 |
+
"loss": 0.3562,
|
| 1535 |
+
"step": 1085
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.9006403635612477,
|
| 1539 |
+
"grad_norm": 2.144295712901401,
|
| 1540 |
+
"learning_rate": 2.966230840124007e-07,
|
| 1541 |
+
"loss": 0.3674,
|
| 1542 |
+
"step": 1090
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.9047717413757488,
|
| 1546 |
+
"grad_norm": 2.118969417696939,
|
| 1547 |
+
"learning_rate": 2.72641974333433e-07,
|
| 1548 |
+
"loss": 0.3622,
|
| 1549 |
+
"step": 1095
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.9089031191902499,
|
| 1553 |
+
"grad_norm": 2.0003217874891694,
|
| 1554 |
+
"learning_rate": 2.4964441129527337e-07,
|
| 1555 |
+
"loss": 0.3697,
|
| 1556 |
+
"step": 1100
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.913034497004751,
|
| 1560 |
+
"grad_norm": 2.052789066548848,
|
| 1561 |
+
"learning_rate": 2.2763517963725169e-07,
|
| 1562 |
+
"loss": 0.3709,
|
| 1563 |
+
"step": 1105
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.9171658748192523,
|
| 1567 |
+
"grad_norm": 1.9424275069967558,
|
| 1568 |
+
"learning_rate": 2.0661885847221398e-07,
|
| 1569 |
+
"loss": 0.3672,
|
| 1570 |
+
"step": 1110
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.9212972526337534,
|
| 1574 |
+
"grad_norm": 2.030858945131136,
|
| 1575 |
+
"learning_rate": 1.8659982033381928e-07,
|
| 1576 |
+
"loss": 0.3675,
|
| 1577 |
+
"step": 1115
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.9254286304482545,
|
| 1581 |
+
"grad_norm": 2.0600092854113132,
|
| 1582 |
+
"learning_rate": 1.6758223026681507e-07,
|
| 1583 |
+
"loss": 0.3636,
|
| 1584 |
+
"step": 1120
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.9295600082627556,
|
| 1588 |
+
"grad_norm": 2.0750384756960374,
|
| 1589 |
+
"learning_rate": 1.4957004496048256e-07,
|
| 1590 |
+
"loss": 0.3656,
|
| 1591 |
+
"step": 1125
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.9336913860772568,
|
| 1595 |
+
"grad_norm": 2.006693676746082,
|
| 1596 |
+
"learning_rate": 1.3256701192542853e-07,
|
| 1597 |
+
"loss": 0.3676,
|
| 1598 |
+
"step": 1130
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.9378227638917579,
|
| 1602 |
+
"grad_norm": 2.114218265869402,
|
| 1603 |
+
"learning_rate": 1.1657666871390471e-07,
|
| 1604 |
+
"loss": 0.3658,
|
| 1605 |
+
"step": 1135
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.941954141706259,
|
| 1609 |
+
"grad_norm": 2.0597089907860537,
|
| 1610 |
+
"learning_rate": 1.0160234218380305e-07,
|
| 1611 |
+
"loss": 0.3573,
|
| 1612 |
+
"step": 1140
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.9460855195207601,
|
| 1616 |
+
"grad_norm": 2.0898079361017334,
|
| 1617 |
+
"learning_rate": 8.76471478064872e-08,
|
| 1618 |
+
"loss": 0.3724,
|
| 1619 |
+
"step": 1145
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.9502168973352613,
|
| 1623 |
+
"grad_norm": 2.0371025770189632,
|
| 1624 |
+
"learning_rate": 7.471398901860772e-08,
|
| 1625 |
+
"loss": 0.3625,
|
| 1626 |
+
"step": 1150
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.9543482751497624,
|
| 1630 |
+
"grad_norm": 1.938944230136909,
|
| 1631 |
+
"learning_rate": 6.280555661802857e-08,
|
| 1632 |
+
"loss": 0.3634,
|
| 1633 |
+
"step": 1155
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.9584796529642636,
|
| 1637 |
+
"grad_norm": 2.1345661558712967,
|
| 1638 |
+
"learning_rate": 5.192432820399718e-08,
|
| 1639 |
+
"loss": 0.3674,
|
| 1640 |
+
"step": 1160
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.9626110307787648,
|
| 1644 |
+
"grad_norm": 1.9759349002447268,
|
| 1645 |
+
"learning_rate": 4.207256766166845e-08,
|
| 1646 |
+
"loss": 0.3621,
|
| 1647 |
+
"step": 1165
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.9667424085932659,
|
| 1651 |
+
"grad_norm": 2.0037876312026213,
|
| 1652 |
+
"learning_rate": 3.3252324691093185e-08,
|
| 1653 |
+
"loss": 0.3645,
|
| 1654 |
+
"step": 1170
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.970873786407767,
|
| 1658 |
+
"grad_norm": 2.059268789116945,
|
| 1659 |
+
"learning_rate": 2.546543438077087e-08,
|
| 1660 |
+
"loss": 0.3569,
|
| 1661 |
+
"step": 1175
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.9750051642222681,
|
| 1665 |
+
"grad_norm": 2.1019547322975916,
|
| 1666 |
+
"learning_rate": 1.8713516825851207e-08,
|
| 1667 |
+
"loss": 0.3604,
|
| 1668 |
+
"step": 1180
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.9791365420367693,
|
| 1672 |
+
"grad_norm": 2.067476136669,
|
| 1673 |
+
"learning_rate": 1.2997976791065403e-08,
|
| 1674 |
+
"loss": 0.3611,
|
| 1675 |
+
"step": 1185
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.9832679198512704,
|
| 1679 |
+
"grad_norm": 1.970947575751658,
|
| 1680 |
+
"learning_rate": 8.32000341846162e-09,
|
| 1681 |
+
"loss": 0.3626,
|
| 1682 |
+
"step": 1190
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.9873992976657715,
|
| 1686 |
+
"grad_norm": 2.0213770050103816,
|
| 1687 |
+
"learning_rate": 4.6805699799967744e-09,
|
| 1688 |
+
"loss": 0.3577,
|
| 1689 |
+
"step": 1195
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.9915306754802726,
|
| 1693 |
+
"grad_norm": 2.0031463180853915,
|
| 1694 |
+
"learning_rate": 2.0804336750429588e-09,
|
| 1695 |
+
"loss": 0.3594,
|
| 1696 |
+
"step": 1200
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.9956620532947738,
|
| 1700 |
+
"grad_norm": 2.0391505951802165,
|
| 1701 |
+
"learning_rate": 5.201354728517905e-10,
|
| 1702 |
+
"loss": 0.3624,
|
| 1703 |
+
"step": 1205
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.999793431109275,
|
| 1707 |
+
"grad_norm": 2.0674337207917235,
|
| 1708 |
+
"learning_rate": 0.0,
|
| 1709 |
+
"loss": 0.3717,
|
| 1710 |
+
"step": 1210
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.999793431109275,
|
| 1714 |
+
"eval_loss": 0.3491726517677307,
|
| 1715 |
+
"eval_runtime": 125.1809,
|
| 1716 |
+
"eval_samples_per_second": 3.115,
|
| 1717 |
+
"eval_steps_per_second": 0.783,
|
| 1718 |
+
"step": 1210
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.999793431109275,
|
| 1722 |
+
"step": 1210,
|
| 1723 |
+
"total_flos": 253297038458880.0,
|
| 1724 |
+
"train_loss": 0.5434080246066259,
|
| 1725 |
+
"train_runtime": 27449.6475,
|
| 1726 |
+
"train_samples_per_second": 1.411,
|
| 1727 |
+
"train_steps_per_second": 0.044
|
| 1728 |
+
}
|
| 1729 |
+
],
|
| 1730 |
+
"logging_steps": 5,
|
| 1731 |
+
"max_steps": 1210,
|
| 1732 |
+
"num_input_tokens_seen": 0,
|
| 1733 |
+
"num_train_epochs": 1,
|
| 1734 |
+
"save_steps": 100,
|
| 1735 |
+
"stateful_callbacks": {
|
| 1736 |
+
"TrainerControl": {
|
| 1737 |
+
"args": {
|
| 1738 |
+
"should_epoch_stop": false,
|
| 1739 |
+
"should_evaluate": false,
|
| 1740 |
+
"should_log": false,
|
| 1741 |
+
"should_save": true,
|
| 1742 |
+
"should_training_stop": true
|
| 1743 |
+
},
|
| 1744 |
+
"attributes": {}
|
| 1745 |
+
}
|
| 1746 |
+
},
|
| 1747 |
+
"total_flos": 253297038458880.0,
|
| 1748 |
+
"train_batch_size": 2,
|
| 1749 |
+
"trial_name": null,
|
| 1750 |
+
"trial_params": null
|
| 1751 |
+
}
|