Model save
Browse files- README.md +10 -3
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +1206 -22
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [codellama/Codellama-7b-Instruct-hf](https://huggingface.co/codellama/Codellama-7b-Instruct-hf) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Loss:
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
@@ -38,16 +38,23 @@ The following hyperparameters were used during training:
|
|
| 38 |
- train_batch_size: 4
|
| 39 |
- eval_batch_size: 4
|
| 40 |
- seed: 42
|
|
|
|
|
|
|
|
|
|
| 41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
- lr_scheduler_type: cosine
|
| 43 |
- lr_scheduler_warmup_ratio: 0.1
|
| 44 |
-
-
|
| 45 |
|
| 46 |
### Training results
|
| 47 |
|
| 48 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 50 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
|
| 52 |
|
| 53 |
### Framework versions
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [codellama/Codellama-7b-Instruct-hf](https://huggingface.co/codellama/Codellama-7b-Instruct-hf) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.8012
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 38 |
- train_batch_size: 4
|
| 39 |
- eval_batch_size: 4
|
| 40 |
- seed: 42
|
| 41 |
+
- distributed_type: multi-GPU
|
| 42 |
+
- gradient_accumulation_steps: 4
|
| 43 |
+
- total_train_batch_size: 16
|
| 44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
- lr_scheduler_type: cosine
|
| 46 |
- lr_scheduler_warmup_ratio: 0.1
|
| 47 |
+
- training_steps: 960
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 53 |
+
| 0.7046 | 0.31 | 192 | 0.7329 |
|
| 54 |
+
| 0.6521 | 0.61 | 384 | 0.7474 |
|
| 55 |
+
| 0.5824 | 0.92 | 576 | 0.7729 |
|
| 56 |
+
| 0.5575 | 1.23 | 768 | 0.7964 |
|
| 57 |
+
| 0.5371 | 1.54 | 960 | 0.8012 |
|
| 58 |
|
| 59 |
|
| 60 |
### Framework versions
|
adapter_config.json
CHANGED
|
@@ -17,9 +17,9 @@
|
|
| 17 |
"revision": null,
|
| 18 |
"target_modules": [
|
| 19 |
"q_proj",
|
| 20 |
-
"v_proj",
|
| 21 |
"k_proj",
|
| 22 |
-
"o_proj"
|
|
|
|
| 23 |
],
|
| 24 |
"task_type": "CAUSAL_LM"
|
| 25 |
}
|
|
|
|
| 17 |
"revision": null,
|
| 18 |
"target_modules": [
|
| 19 |
"q_proj",
|
|
|
|
| 20 |
"k_proj",
|
| 21 |
+
"o_proj",
|
| 22 |
+
"v_proj"
|
| 23 |
],
|
| 24 |
"task_type": "CAUSAL_LM"
|
| 25 |
}
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 536906096
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51eee9d9700e6d36b06c92a7a0e9de7328f8f1b637b34c01423c901f28571a2d
|
| 3 |
size 536906096
|
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second": 4.
|
| 8 |
-
"train_loss":
|
| 9 |
-
"train_runtime":
|
| 10 |
-
"train_samples":
|
| 11 |
-
"train_samples_per_second": 0.
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.54,
|
| 3 |
+
"eval_loss": 0.8011999726295471,
|
| 4 |
+
"eval_runtime": 117.8304,
|
| 5 |
+
"eval_samples": 2000,
|
| 6 |
+
"eval_samples_per_second": 16.974,
|
| 7 |
+
"eval_steps_per_second": 4.243,
|
| 8 |
+
"train_loss": 0.6617152964075407,
|
| 9 |
+
"train_runtime": 23627.0915,
|
| 10 |
+
"train_samples": 10000,
|
| 11 |
+
"train_samples_per_second": 0.65,
|
| 12 |
+
"train_steps_per_second": 0.041
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second": 4.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.54,
|
| 3 |
+
"eval_loss": 0.8011999726295471,
|
| 4 |
+
"eval_runtime": 117.8304,
|
| 5 |
+
"eval_samples": 2000,
|
| 6 |
+
"eval_samples_per_second": 16.974,
|
| 7 |
+
"eval_steps_per_second": 4.243
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"train_loss":
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second": 0.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.54,
|
| 3 |
+
"train_loss": 0.6617152964075407,
|
| 4 |
+
"train_runtime": 23627.0915,
|
| 5 |
+
"train_samples": 10000,
|
| 6 |
+
"train_samples_per_second": 0.65,
|
| 7 |
+
"train_steps_per_second": 0.041
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,42 +1,1226 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
-
"eval_steps":
|
| 6 |
-
"global_step":
|
| 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.
|
| 13 |
-
"learning_rate":
|
| 14 |
-
"loss": 1.
|
| 15 |
"step": 1
|
| 16 |
},
|
| 17 |
{
|
| 18 |
-
"epoch": 0.
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
-
"
|
| 22 |
-
|
| 23 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.33,
|
| 27 |
-
"
|
| 28 |
-
"
|
| 29 |
-
"
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
}
|
| 34 |
],
|
| 35 |
"logging_steps": 5,
|
| 36 |
-
"max_steps":
|
| 37 |
-
"num_train_epochs":
|
| 38 |
-
"save_steps":
|
| 39 |
-
"total_flos":
|
| 40 |
"trial_name": null,
|
| 41 |
"trial_params": null
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.536,
|
| 5 |
+
"eval_steps": 192,
|
| 6 |
+
"global_step": 960,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 4.1666666666666667e-07,
|
| 14 |
+
"loss": 1.5394,
|
| 15 |
"step": 1
|
| 16 |
},
|
| 17 |
{
|
| 18 |
+
"epoch": 0.01,
|
| 19 |
+
"learning_rate": 2.0833333333333334e-06,
|
| 20 |
+
"loss": 1.5312,
|
| 21 |
+
"step": 5
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.02,
|
| 25 |
+
"learning_rate": 4.166666666666667e-06,
|
| 26 |
+
"loss": 1.4755,
|
| 27 |
+
"step": 10
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.02,
|
| 31 |
+
"learning_rate": 6.25e-06,
|
| 32 |
+
"loss": 1.4213,
|
| 33 |
+
"step": 15
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.03,
|
| 37 |
+
"learning_rate": 8.333333333333334e-06,
|
| 38 |
+
"loss": 1.2847,
|
| 39 |
+
"step": 20
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.04,
|
| 43 |
+
"learning_rate": 1.0416666666666668e-05,
|
| 44 |
+
"loss": 1.1147,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.05,
|
| 49 |
+
"learning_rate": 1.25e-05,
|
| 50 |
+
"loss": 1.0576,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.06,
|
| 55 |
+
"learning_rate": 1.4583333333333333e-05,
|
| 56 |
+
"loss": 1.0231,
|
| 57 |
+
"step": 35
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.06,
|
| 61 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 62 |
+
"loss": 0.9849,
|
| 63 |
+
"step": 40
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.07,
|
| 67 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 68 |
+
"loss": 0.9878,
|
| 69 |
+
"step": 45
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.08,
|
| 73 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 74 |
+
"loss": 0.9602,
|
| 75 |
+
"step": 50
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.09,
|
| 79 |
+
"learning_rate": 2.2916666666666667e-05,
|
| 80 |
+
"loss": 0.9681,
|
| 81 |
+
"step": 55
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.1,
|
| 85 |
+
"learning_rate": 2.5e-05,
|
| 86 |
+
"loss": 0.9352,
|
| 87 |
+
"step": 60
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.1,
|
| 91 |
+
"learning_rate": 2.7083333333333335e-05,
|
| 92 |
+
"loss": 0.9187,
|
| 93 |
+
"step": 65
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.11,
|
| 97 |
+
"learning_rate": 2.9166666666666666e-05,
|
| 98 |
+
"loss": 0.9051,
|
| 99 |
+
"step": 70
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.12,
|
| 103 |
+
"learning_rate": 3.125e-05,
|
| 104 |
+
"loss": 0.8898,
|
| 105 |
+
"step": 75
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.13,
|
| 109 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 110 |
+
"loss": 0.8779,
|
| 111 |
+
"step": 80
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.14,
|
| 115 |
+
"learning_rate": 3.541666666666667e-05,
|
| 116 |
+
"loss": 0.8798,
|
| 117 |
+
"step": 85
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.14,
|
| 121 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 122 |
+
"loss": 0.8861,
|
| 123 |
+
"step": 90
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.15,
|
| 127 |
+
"learning_rate": 3.958333333333334e-05,
|
| 128 |
+
"loss": 0.8748,
|
| 129 |
+
"step": 95
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.16,
|
| 133 |
+
"learning_rate": 3.999788463854215e-05,
|
| 134 |
+
"loss": 0.8486,
|
| 135 |
+
"step": 100
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.17,
|
| 139 |
+
"learning_rate": 3.9989291749527314e-05,
|
| 140 |
+
"loss": 0.8652,
|
| 141 |
+
"step": 105
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.18,
|
| 145 |
+
"learning_rate": 3.997409196081781e-05,
|
| 146 |
+
"loss": 0.8443,
|
| 147 |
+
"step": 110
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.18,
|
| 151 |
+
"learning_rate": 3.9952290296277454e-05,
|
| 152 |
+
"loss": 0.8305,
|
| 153 |
+
"step": 115
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.19,
|
| 157 |
+
"learning_rate": 3.9923893961834914e-05,
|
| 158 |
+
"loss": 0.8217,
|
| 159 |
+
"step": 120
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.2,
|
| 163 |
+
"learning_rate": 3.988891234310205e-05,
|
| 164 |
+
"loss": 0.8284,
|
| 165 |
+
"step": 125
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.21,
|
| 169 |
+
"learning_rate": 3.98473570022717e-05,
|
| 170 |
+
"loss": 0.7975,
|
| 171 |
+
"step": 130
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.22,
|
| 175 |
+
"learning_rate": 3.979924167429616e-05,
|
| 176 |
+
"loss": 0.769,
|
| 177 |
+
"step": 135
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.22,
|
| 181 |
+
"learning_rate": 3.9744582262347486e-05,
|
| 182 |
+
"loss": 0.7685,
|
| 183 |
+
"step": 140
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.23,
|
| 187 |
+
"learning_rate": 3.968339683256111e-05,
|
| 188 |
+
"loss": 0.7308,
|
| 189 |
+
"step": 145
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.24,
|
| 193 |
+
"learning_rate": 3.961570560806461e-05,
|
| 194 |
+
"loss": 0.74,
|
| 195 |
+
"step": 150
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.25,
|
| 199 |
+
"learning_rate": 3.954153096229354e-05,
|
| 200 |
+
"loss": 0.7414,
|
| 201 |
+
"step": 155
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.26,
|
| 205 |
+
"learning_rate": 3.946089741159648e-05,
|
| 206 |
+
"loss": 0.7143,
|
| 207 |
+
"step": 160
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.26,
|
| 211 |
+
"learning_rate": 3.937383160713187e-05,
|
| 212 |
+
"loss": 0.7298,
|
| 213 |
+
"step": 165
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.27,
|
| 217 |
+
"learning_rate": 3.9280362326059194e-05,
|
| 218 |
+
"loss": 0.7259,
|
| 219 |
+
"step": 170
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.28,
|
| 223 |
+
"learning_rate": 3.918052046202755e-05,
|
| 224 |
+
"loss": 0.7032,
|
| 225 |
+
"step": 175
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.29,
|
| 229 |
+
"learning_rate": 3.907433901496454e-05,
|
| 230 |
+
"loss": 0.7353,
|
| 231 |
+
"step": 180
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.3,
|
| 235 |
+
"learning_rate": 3.8961853080169156e-05,
|
| 236 |
+
"loss": 0.7075,
|
| 237 |
+
"step": 185
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.3,
|
| 241 |
+
"learning_rate": 3.884309983671193e-05,
|
| 242 |
+
"loss": 0.7046,
|
| 243 |
+
"step": 190
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.31,
|
| 247 |
+
"eval_loss": 0.7329480648040771,
|
| 248 |
+
"eval_runtime": 118.1096,
|
| 249 |
+
"eval_samples_per_second": 16.933,
|
| 250 |
+
"eval_steps_per_second": 4.233,
|
| 251 |
+
"step": 192
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.31,
|
| 255 |
+
"learning_rate": 3.871811853514652e-05,
|
| 256 |
+
"loss": 0.7085,
|
| 257 |
+
"step": 195
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.32,
|
| 261 |
+
"learning_rate": 3.858695048453645e-05,
|
| 262 |
+
"loss": 0.7113,
|
| 263 |
+
"step": 200
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 0.33,
|
| 267 |
+
"learning_rate": 3.844963903880165e-05,
|
| 268 |
+
"loss": 0.7117,
|
| 269 |
+
"step": 205
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.34,
|
| 273 |
+
"learning_rate": 3.830622958238895e-05,
|
| 274 |
+
"loss": 0.7031,
|
| 275 |
+
"step": 210
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.34,
|
| 279 |
+
"learning_rate": 3.815676951527158e-05,
|
| 280 |
+
"loss": 0.7057,
|
| 281 |
+
"step": 215
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.35,
|
| 285 |
+
"learning_rate": 3.800130823728242e-05,
|
| 286 |
+
"loss": 0.7072,
|
| 287 |
+
"step": 220
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 0.36,
|
| 291 |
+
"learning_rate": 3.783989713178629e-05,
|
| 292 |
+
"loss": 0.7006,
|
| 293 |
+
"step": 225
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.37,
|
| 297 |
+
"learning_rate": 3.767258954869656e-05,
|
| 298 |
+
"loss": 0.6969,
|
| 299 |
+
"step": 230
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.38,
|
| 303 |
+
"learning_rate": 3.7499440786841897e-05,
|
| 304 |
+
"loss": 0.6878,
|
| 305 |
+
"step": 235
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.38,
|
| 309 |
+
"learning_rate": 3.732050807568878e-05,
|
| 310 |
+
"loss": 0.6901,
|
| 311 |
+
"step": 240
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.39,
|
| 315 |
+
"learning_rate": 3.713585055642586e-05,
|
| 316 |
+
"loss": 0.6812,
|
| 317 |
+
"step": 245
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.4,
|
| 321 |
+
"learning_rate": 3.694552926241656e-05,
|
| 322 |
+
"loss": 0.6854,
|
| 323 |
+
"step": 250
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.41,
|
| 327 |
+
"learning_rate": 3.674960709902616e-05,
|
| 328 |
+
"loss": 0.6871,
|
| 329 |
+
"step": 255
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.42,
|
| 333 |
+
"learning_rate": 3.654814882283021e-05,
|
| 334 |
+
"loss": 0.6824,
|
| 335 |
+
"step": 260
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.42,
|
| 339 |
+
"learning_rate": 3.634122102021108e-05,
|
| 340 |
+
"loss": 0.6909,
|
| 341 |
+
"step": 265
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.43,
|
| 345 |
+
"learning_rate": 3.612889208534966e-05,
|
| 346 |
+
"loss": 0.6871,
|
| 347 |
+
"step": 270
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.44,
|
| 351 |
+
"learning_rate": 3.59112321976196e-05,
|
| 352 |
+
"loss": 0.6748,
|
| 353 |
+
"step": 275
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.45,
|
| 357 |
+
"learning_rate": 3.568831329839152e-05,
|
| 358 |
+
"loss": 0.688,
|
| 359 |
+
"step": 280
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.46,
|
| 363 |
+
"learning_rate": 3.546020906725474e-05,
|
| 364 |
+
"loss": 0.6806,
|
| 365 |
+
"step": 285
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 0.46,
|
| 369 |
+
"learning_rate": 3.522699489766462e-05,
|
| 370 |
+
"loss": 0.662,
|
| 371 |
+
"step": 290
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.47,
|
| 375 |
+
"learning_rate": 3.498874787202335e-05,
|
| 376 |
+
"loss": 0.6766,
|
| 377 |
+
"step": 295
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.48,
|
| 381 |
+
"learning_rate": 3.474554673620248e-05,
|
| 382 |
+
"loss": 0.6815,
|
| 383 |
+
"step": 300
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 0.49,
|
| 387 |
+
"learning_rate": 3.4497471873515765e-05,
|
| 388 |
+
"loss": 0.6581,
|
| 389 |
+
"step": 305
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.5,
|
| 393 |
+
"learning_rate": 3.4244605278150625e-05,
|
| 394 |
+
"loss": 0.6509,
|
| 395 |
+
"step": 310
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.5,
|
| 399 |
+
"learning_rate": 3.398703052806734e-05,
|
| 400 |
+
"loss": 0.6658,
|
| 401 |
+
"step": 315
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.51,
|
| 405 |
+
"learning_rate": 3.372483275737468e-05,
|
| 406 |
+
"loss": 0.6653,
|
| 407 |
+
"step": 320
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.52,
|
| 411 |
+
"learning_rate": 3.3458098628191155e-05,
|
| 412 |
+
"loss": 0.6331,
|
| 413 |
+
"step": 325
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 0.53,
|
| 417 |
+
"learning_rate": 3.318691630200138e-05,
|
| 418 |
+
"loss": 0.669,
|
| 419 |
+
"step": 330
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.54,
|
| 423 |
+
"learning_rate": 3.2911375410516696e-05,
|
| 424 |
+
"loss": 0.6525,
|
| 425 |
+
"step": 335
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.54,
|
| 429 |
+
"learning_rate": 3.2631567026049954e-05,
|
| 430 |
+
"loss": 0.6726,
|
| 431 |
+
"step": 340
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.55,
|
| 435 |
+
"learning_rate": 3.2347583631414106e-05,
|
| 436 |
+
"loss": 0.6596,
|
| 437 |
+
"step": 345
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.56,
|
| 441 |
+
"learning_rate": 3.2059519089354595e-05,
|
| 442 |
+
"loss": 0.6587,
|
| 443 |
+
"step": 350
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.57,
|
| 447 |
+
"learning_rate": 3.176746861152569e-05,
|
| 448 |
+
"loss": 0.6504,
|
| 449 |
+
"step": 355
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.58,
|
| 453 |
+
"learning_rate": 3.147152872702092e-05,
|
| 454 |
+
"loss": 0.6465,
|
| 455 |
+
"step": 360
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 0.58,
|
| 459 |
+
"learning_rate": 3.1171797250468094e-05,
|
| 460 |
+
"loss": 0.6547,
|
| 461 |
+
"step": 365
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.59,
|
| 465 |
+
"learning_rate": 3.08683732496994e-05,
|
| 466 |
+
"loss": 0.6353,
|
| 467 |
+
"step": 370
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.6,
|
| 471 |
+
"learning_rate": 3.056135701300736e-05,
|
| 472 |
+
"loss": 0.6494,
|
| 473 |
+
"step": 375
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.61,
|
| 477 |
+
"learning_rate": 3.0250850015997307e-05,
|
| 478 |
+
"loss": 0.6521,
|
| 479 |
+
"step": 380
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.61,
|
| 483 |
+
"eval_loss": 0.7474338412284851,
|
| 484 |
+
"eval_runtime": 117.8174,
|
| 485 |
+
"eval_samples_per_second": 16.975,
|
| 486 |
+
"eval_steps_per_second": 4.244,
|
| 487 |
+
"step": 384
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.62,
|
| 491 |
+
"learning_rate": 2.9936954888047478e-05,
|
| 492 |
+
"loss": 0.6363,
|
| 493 |
+
"step": 385
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.62,
|
| 497 |
+
"learning_rate": 2.9619775378387756e-05,
|
| 498 |
+
"loss": 0.6388,
|
| 499 |
+
"step": 390
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.63,
|
| 503 |
+
"learning_rate": 2.9299416321808284e-05,
|
| 504 |
+
"loss": 0.6429,
|
| 505 |
+
"step": 395
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.64,
|
| 509 |
+
"learning_rate": 2.897598360400925e-05,
|
| 510 |
+
"loss": 0.6182,
|
| 511 |
+
"step": 400
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.65,
|
| 515 |
+
"learning_rate": 2.8649584126603325e-05,
|
| 516 |
+
"loss": 0.6279,
|
| 517 |
+
"step": 405
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 0.66,
|
| 521 |
+
"learning_rate": 2.8320325771782387e-05,
|
| 522 |
+
"loss": 0.634,
|
| 523 |
+
"step": 410
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 0.66,
|
| 527 |
+
"learning_rate": 2.798831736666001e-05,
|
| 528 |
+
"loss": 0.6278,
|
| 529 |
+
"step": 415
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.67,
|
| 533 |
+
"learning_rate": 2.7653668647301797e-05,
|
| 534 |
+
"loss": 0.6298,
|
| 535 |
+
"step": 420
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.68,
|
| 539 |
+
"learning_rate": 2.7316490222455143e-05,
|
| 540 |
+
"loss": 0.619,
|
| 541 |
+
"step": 425
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.69,
|
| 545 |
+
"learning_rate": 2.6976893536990618e-05,
|
| 546 |
+
"loss": 0.6308,
|
| 547 |
+
"step": 430
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 0.7,
|
| 551 |
+
"learning_rate": 2.6634990835067046e-05,
|
| 552 |
+
"loss": 0.6138,
|
| 553 |
+
"step": 435
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.7,
|
| 557 |
+
"learning_rate": 2.6290895123032277e-05,
|
| 558 |
+
"loss": 0.6394,
|
| 559 |
+
"step": 440
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 0.71,
|
| 563 |
+
"learning_rate": 2.5944720132072156e-05,
|
| 564 |
+
"loss": 0.6215,
|
| 565 |
+
"step": 445
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 0.72,
|
| 569 |
+
"learning_rate": 2.5596580280619847e-05,
|
| 570 |
+
"loss": 0.628,
|
| 571 |
+
"step": 450
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.73,
|
| 575 |
+
"learning_rate": 2.5246590636538035e-05,
|
| 576 |
+
"loss": 0.6311,
|
| 577 |
+
"step": 455
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.74,
|
| 581 |
+
"learning_rate": 2.4894866879086478e-05,
|
| 582 |
+
"loss": 0.6283,
|
| 583 |
+
"step": 460
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.74,
|
| 587 |
+
"learning_rate": 2.4541525260687468e-05,
|
| 588 |
+
"loss": 0.6134,
|
| 589 |
+
"step": 465
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 0.75,
|
| 593 |
+
"learning_rate": 2.4186682568501844e-05,
|
| 594 |
+
"loss": 0.6114,
|
| 595 |
+
"step": 470
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.76,
|
| 599 |
+
"learning_rate": 2.3830456085828288e-05,
|
| 600 |
+
"loss": 0.5984,
|
| 601 |
+
"step": 475
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.77,
|
| 605 |
+
"learning_rate": 2.3472963553338614e-05,
|
| 606 |
+
"loss": 0.6236,
|
| 607 |
+
"step": 480
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 0.78,
|
| 611 |
+
"learning_rate": 2.311432313016188e-05,
|
| 612 |
+
"loss": 0.618,
|
| 613 |
+
"step": 485
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.78,
|
| 617 |
+
"learning_rate": 2.2754653354830215e-05,
|
| 618 |
+
"loss": 0.6117,
|
| 619 |
+
"step": 490
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.79,
|
| 623 |
+
"learning_rate": 2.239407310609925e-05,
|
| 624 |
+
"loss": 0.6095,
|
| 625 |
+
"step": 495
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.8,
|
| 629 |
+
"learning_rate": 2.203270156365604e-05,
|
| 630 |
+
"loss": 0.6131,
|
| 631 |
+
"step": 500
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.81,
|
| 635 |
+
"learning_rate": 2.1670658168727575e-05,
|
| 636 |
+
"loss": 0.5883,
|
| 637 |
+
"step": 505
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 0.82,
|
| 641 |
+
"learning_rate": 2.1308062584602865e-05,
|
| 642 |
+
"loss": 0.5988,
|
| 643 |
+
"step": 510
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 0.82,
|
| 647 |
+
"learning_rate": 2.094503465708154e-05,
|
| 648 |
+
"loss": 0.5863,
|
| 649 |
+
"step": 515
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.83,
|
| 653 |
+
"learning_rate": 2.058169437486223e-05,
|
| 654 |
+
"loss": 0.6016,
|
| 655 |
+
"step": 520
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.84,
|
| 659 |
+
"learning_rate": 2.021816182988365e-05,
|
| 660 |
+
"loss": 0.6133,
|
| 661 |
+
"step": 525
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.85,
|
| 665 |
+
"learning_rate": 1.985455717763157e-05,
|
| 666 |
+
"loss": 0.5928,
|
| 667 |
+
"step": 530
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.86,
|
| 671 |
+
"learning_rate": 1.94910005974248e-05,
|
| 672 |
+
"loss": 0.6039,
|
| 673 |
+
"step": 535
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.86,
|
| 677 |
+
"learning_rate": 1.9127612252693285e-05,
|
| 678 |
+
"loss": 0.5839,
|
| 679 |
+
"step": 540
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.87,
|
| 683 |
+
"learning_rate": 1.8764512251261444e-05,
|
| 684 |
+
"loss": 0.5895,
|
| 685 |
+
"step": 545
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.88,
|
| 689 |
+
"learning_rate": 1.8401820605649928e-05,
|
| 690 |
+
"loss": 0.593,
|
| 691 |
+
"step": 550
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.89,
|
| 695 |
+
"learning_rate": 1.8039657193408788e-05,
|
| 696 |
+
"loss": 0.5969,
|
| 697 |
+
"step": 555
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.9,
|
| 701 |
+
"learning_rate": 1.7678141717495394e-05,
|
| 702 |
+
"loss": 0.6023,
|
| 703 |
+
"step": 560
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.9,
|
| 707 |
+
"learning_rate": 1.7317393666709918e-05,
|
| 708 |
+
"loss": 0.5852,
|
| 709 |
+
"step": 565
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.91,
|
| 713 |
+
"learning_rate": 1.6957532276201668e-05,
|
| 714 |
+
"loss": 0.5868,
|
| 715 |
+
"step": 570
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.92,
|
| 719 |
+
"learning_rate": 1.6598676488059292e-05,
|
| 720 |
+
"loss": 0.5824,
|
| 721 |
+
"step": 575
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.92,
|
| 725 |
+
"eval_loss": 0.7729184031486511,
|
| 726 |
+
"eval_runtime": 117.9572,
|
| 727 |
+
"eval_samples_per_second": 16.955,
|
| 728 |
+
"eval_steps_per_second": 4.239,
|
| 729 |
+
"step": 576
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.93,
|
| 733 |
+
"learning_rate": 1.6240944911997765e-05,
|
| 734 |
+
"loss": 0.5815,
|
| 735 |
+
"step": 580
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 0.94,
|
| 739 |
+
"learning_rate": 1.5884455786155304e-05,
|
| 740 |
+
"loss": 0.5935,
|
| 741 |
+
"step": 585
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 0.94,
|
| 745 |
+
"learning_rate": 1.5529326938013053e-05,
|
| 746 |
+
"loss": 0.592,
|
| 747 |
+
"step": 590
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.95,
|
| 751 |
+
"learning_rate": 1.5175675745450513e-05,
|
| 752 |
+
"loss": 0.5871,
|
| 753 |
+
"step": 595
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.96,
|
| 757 |
+
"learning_rate": 1.4823619097949584e-05,
|
| 758 |
+
"loss": 0.5914,
|
| 759 |
+
"step": 600
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.97,
|
| 763 |
+
"learning_rate": 1.4473273357960035e-05,
|
| 764 |
+
"loss": 0.5819,
|
| 765 |
+
"step": 605
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.98,
|
| 769 |
+
"learning_rate": 1.4124754322439112e-05,
|
| 770 |
+
"loss": 0.5677,
|
| 771 |
+
"step": 610
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 0.98,
|
| 775 |
+
"learning_rate": 1.3778177184578185e-05,
|
| 776 |
+
"loss": 0.585,
|
| 777 |
+
"step": 615
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.99,
|
| 781 |
+
"learning_rate": 1.3433656495728781e-05,
|
| 782 |
+
"loss": 0.571,
|
| 783 |
+
"step": 620
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 1.0,
|
| 787 |
+
"learning_rate": 1.3091306127540916e-05,
|
| 788 |
+
"loss": 0.5714,
|
| 789 |
+
"step": 625
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 1.01,
|
| 793 |
+
"learning_rate": 1.275123923432597e-05,
|
| 794 |
+
"loss": 0.5794,
|
| 795 |
+
"step": 630
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 1.02,
|
| 799 |
+
"learning_rate": 1.2413568215656735e-05,
|
| 800 |
+
"loss": 0.5685,
|
| 801 |
+
"step": 635
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.02,
|
| 805 |
+
"learning_rate": 1.2078404679216864e-05,
|
| 806 |
+
"loss": 0.58,
|
| 807 |
+
"step": 640
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 1.03,
|
| 811 |
+
"learning_rate": 1.1745859403912108e-05,
|
| 812 |
+
"loss": 0.5585,
|
| 813 |
+
"step": 645
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 1.04,
|
| 817 |
+
"learning_rate": 1.1416042303255424e-05,
|
| 818 |
+
"loss": 0.5733,
|
| 819 |
+
"step": 650
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 1.05,
|
| 823 |
+
"learning_rate": 1.1089062389038175e-05,
|
| 824 |
+
"loss": 0.5736,
|
| 825 |
+
"step": 655
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 1.06,
|
| 829 |
+
"learning_rate": 1.0765027735299327e-05,
|
| 830 |
+
"loss": 0.5593,
|
| 831 |
+
"step": 660
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 1.06,
|
| 835 |
+
"learning_rate": 1.04440454426046e-05,
|
| 836 |
+
"loss": 0.5623,
|
| 837 |
+
"step": 665
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 1.07,
|
| 841 |
+
"learning_rate": 1.0126221602647395e-05,
|
| 842 |
+
"loss": 0.5709,
|
| 843 |
+
"step": 670
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.08,
|
| 847 |
+
"learning_rate": 9.811661263183165e-06,
|
| 848 |
+
"loss": 0.5722,
|
| 849 |
+
"step": 675
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 1.09,
|
| 853 |
+
"learning_rate": 9.5004683933088e-06,
|
| 854 |
+
"loss": 0.5787,
|
| 855 |
+
"step": 680
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 1.1,
|
| 859 |
+
"learning_rate": 9.192745849098575e-06,
|
| 860 |
+
"loss": 0.5841,
|
| 861 |
+
"step": 685
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 1.1,
|
| 865 |
+
"learning_rate": 8.888595339607961e-06,
|
| 866 |
+
"loss": 0.5594,
|
| 867 |
+
"step": 690
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 1.11,
|
| 871 |
+
"learning_rate": 8.588117393256543e-06,
|
| 872 |
+
"loss": 0.5544,
|
| 873 |
+
"step": 695
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 1.12,
|
| 877 |
+
"learning_rate": 8.291411324601191e-06,
|
| 878 |
+
"loss": 0.5747,
|
| 879 |
+
"step": 700
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 1.13,
|
| 883 |
+
"learning_rate": 7.998575201510383e-06,
|
| 884 |
+
"loss": 0.5602,
|
| 885 |
+
"step": 705
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.14,
|
| 889 |
+
"learning_rate": 7.709705812750651e-06,
|
| 890 |
+
"loss": 0.5597,
|
| 891 |
+
"step": 710
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.14,
|
| 895 |
+
"learning_rate": 7.4248986359957474e-06,
|
| 896 |
+
"loss": 0.5536,
|
| 897 |
+
"step": 715
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 1.15,
|
| 901 |
+
"learning_rate": 7.1442478062692135e-06,
|
| 902 |
+
"loss": 0.5674,
|
| 903 |
+
"step": 720
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 1.16,
|
| 907 |
+
"learning_rate": 6.867846084830645e-06,
|
| 908 |
+
"loss": 0.5669,
|
| 909 |
+
"step": 725
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 1.17,
|
| 913 |
+
"learning_rate": 6.595784828516085e-06,
|
| 914 |
+
"loss": 0.5465,
|
| 915 |
+
"step": 730
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 1.18,
|
| 919 |
+
"learning_rate": 6.328153959542573e-06,
|
| 920 |
+
"loss": 0.566,
|
| 921 |
+
"step": 735
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 1.18,
|
| 925 |
+
"learning_rate": 6.065041935786906e-06,
|
| 926 |
+
"loss": 0.5553,
|
| 927 |
+
"step": 740
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.19,
|
| 931 |
+
"learning_rate": 5.806535721548305e-06,
|
| 932 |
+
"loss": 0.5761,
|
| 933 |
+
"step": 745
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 1.2,
|
| 937 |
+
"learning_rate": 5.55272075880489e-06,
|
| 938 |
+
"loss": 0.5616,
|
| 939 |
+
"step": 750
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 1.21,
|
| 943 |
+
"learning_rate": 5.303680938973164e-06,
|
| 944 |
+
"loss": 0.573,
|
| 945 |
+
"step": 755
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 1.22,
|
| 949 |
+
"learning_rate": 5.059498575180084e-06,
|
| 950 |
+
"loss": 0.5407,
|
| 951 |
+
"step": 760
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 1.22,
|
| 955 |
+
"learning_rate": 4.8202543750567635e-06,
|
| 956 |
+
"loss": 0.5575,
|
| 957 |
+
"step": 765
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 1.23,
|
| 961 |
+
"eval_loss": 0.7963955998420715,
|
| 962 |
+
"eval_runtime": 117.8913,
|
| 963 |
+
"eval_samples_per_second": 16.965,
|
| 964 |
+
"eval_steps_per_second": 4.241,
|
| 965 |
+
"step": 768
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 1.23,
|
| 969 |
+
"learning_rate": 4.586027414062839e-06,
|
| 970 |
+
"loss": 0.5603,
|
| 971 |
+
"step": 770
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 1.24,
|
| 975 |
+
"learning_rate": 4.356895109350272e-06,
|
| 976 |
+
"loss": 0.5504,
|
| 977 |
+
"step": 775
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 1.25,
|
| 981 |
+
"learning_rate": 4.132933194175299e-06,
|
| 982 |
+
"loss": 0.5396,
|
| 983 |
+
"step": 780
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.26,
|
| 987 |
+
"learning_rate": 3.914215692866918e-06,
|
| 988 |
+
"loss": 0.5648,
|
| 989 |
+
"step": 785
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 1.26,
|
| 993 |
+
"learning_rate": 3.7008148963602474e-06,
|
| 994 |
+
"loss": 0.5547,
|
| 995 |
+
"step": 790
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 1.27,
|
| 999 |
+
"learning_rate": 3.4928013383027247e-06,
|
| 1000 |
+
"loss": 0.5439,
|
| 1001 |
+
"step": 795
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 1.28,
|
| 1005 |
+
"learning_rate": 3.290243771741275e-06,
|
| 1006 |
+
"loss": 0.5485,
|
| 1007 |
+
"step": 800
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 1.29,
|
| 1011 |
+
"learning_rate": 3.0932091463978397e-06,
|
| 1012 |
+
"loss": 0.54,
|
| 1013 |
+
"step": 805
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 1.3,
|
| 1017 |
+
"learning_rate": 2.9017625865410727e-06,
|
| 1018 |
+
"loss": 0.5524,
|
| 1019 |
+
"step": 810
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 1.3,
|
| 1023 |
+
"learning_rate": 2.715967369461314e-06,
|
| 1024 |
+
"loss": 0.5412,
|
| 1025 |
+
"step": 815
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.31,
|
| 1029 |
+
"learning_rate": 2.535884904556085e-06,
|
| 1030 |
+
"loss": 0.5538,
|
| 1031 |
+
"step": 820
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 1.32,
|
| 1035 |
+
"learning_rate": 2.3615747130329013e-06,
|
| 1036 |
+
"loss": 0.5322,
|
| 1037 |
+
"step": 825
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 1.33,
|
| 1041 |
+
"learning_rate": 2.1930944082362204e-06,
|
| 1042 |
+
"loss": 0.5485,
|
| 1043 |
+
"step": 830
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 1.34,
|
| 1047 |
+
"learning_rate": 2.0304996766049844e-06,
|
| 1048 |
+
"loss": 0.5451,
|
| 1049 |
+
"step": 835
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 1.34,
|
| 1053 |
+
"learning_rate": 1.8738442592670014e-06,
|
| 1054 |
+
"loss": 0.5315,
|
| 1055 |
+
"step": 840
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 1.35,
|
| 1059 |
+
"learning_rate": 1.7231799342763379e-06,
|
| 1060 |
+
"loss": 0.5457,
|
| 1061 |
+
"step": 845
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 1.36,
|
| 1065 |
+
"learning_rate": 1.5785564994995284e-06,
|
| 1066 |
+
"loss": 0.5476,
|
| 1067 |
+
"step": 850
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.37,
|
| 1071 |
+
"learning_rate": 1.4400217561563112e-06,
|
| 1072 |
+
"loss": 0.5637,
|
| 1073 |
+
"step": 855
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 1.38,
|
| 1077 |
+
"learning_rate": 1.3076214930202324e-06,
|
| 1078 |
+
"loss": 0.5294,
|
| 1079 |
+
"step": 860
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 1.38,
|
| 1083 |
+
"learning_rate": 1.1813994712844922e-06,
|
| 1084 |
+
"loss": 0.5446,
|
| 1085 |
+
"step": 865
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 1.39,
|
| 1089 |
+
"learning_rate": 1.0613974100978885e-06,
|
| 1090 |
+
"loss": 0.5607,
|
| 1091 |
+
"step": 870
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 1.4,
|
| 1095 |
+
"learning_rate": 9.476549727757267e-07,
|
| 1096 |
+
"loss": 0.5386,
|
| 1097 |
+
"step": 875
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 1.41,
|
| 1101 |
+
"learning_rate": 8.402097536902221e-07,
|
| 1102 |
+
"loss": 0.5545,
|
| 1103 |
+
"step": 880
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 1.42,
|
| 1107 |
+
"learning_rate": 7.390972658447459e-07,
|
| 1108 |
+
"loss": 0.5361,
|
| 1109 |
+
"step": 885
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 1.42,
|
| 1113 |
+
"learning_rate": 6.443509291359817e-07,
|
| 1114 |
+
"loss": 0.5461,
|
| 1115 |
+
"step": 890
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 1.43,
|
| 1119 |
+
"learning_rate": 5.56002059307923e-07,
|
| 1120 |
+
"loss": 0.546,
|
| 1121 |
+
"step": 895
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 1.44,
|
| 1125 |
+
"learning_rate": 4.740798576013328e-07,
|
| 1126 |
+
"loss": 0.5472,
|
| 1127 |
+
"step": 900
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 1.45,
|
| 1131 |
+
"learning_rate": 3.9861140110209806e-07,
|
| 1132 |
+
"loss": 0.5339,
|
| 1133 |
+
"step": 905
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 1.46,
|
| 1137 |
+
"learning_rate": 3.296216337916458e-07,
|
| 1138 |
+
"loss": 0.536,
|
| 1139 |
+
"step": 910
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 1.46,
|
| 1143 |
+
"learning_rate": 2.671333583024205e-07,
|
| 1144 |
+
"loss": 0.5434,
|
| 1145 |
+
"step": 915
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 1.47,
|
| 1149 |
+
"learning_rate": 2.111672283811106e-07,
|
| 1150 |
+
"loss": 0.5483,
|
| 1151 |
+
"step": 920
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 1.48,
|
| 1155 |
+
"learning_rate": 1.6174174206212922e-07,
|
| 1156 |
+
"loss": 0.5437,
|
| 1157 |
+
"step": 925
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 1.49,
|
| 1161 |
+
"learning_rate": 1.1887323555360708e-07,
|
| 1162 |
+
"loss": 0.5446,
|
| 1163 |
+
"step": 930
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 1.5,
|
| 1167 |
+
"learning_rate": 8.25758778379293e-08,
|
| 1168 |
+
"loss": 0.5457,
|
| 1169 |
+
"step": 935
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 1.5,
|
| 1173 |
+
"learning_rate": 5.286166598855502e-08,
|
| 1174 |
+
"loss": 0.5429,
|
| 1175 |
+
"step": 940
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 1.51,
|
| 1179 |
+
"learning_rate": 2.974042120473808e-08,
|
| 1180 |
+
"loss": 0.5405,
|
| 1181 |
+
"step": 945
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 1.52,
|
| 1185 |
+
"learning_rate": 1.3219785565399268e-08,
|
| 1186 |
+
"loss": 0.5388,
|
| 1187 |
+
"step": 950
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 1.53,
|
| 1191 |
+
"learning_rate": 3.305219503249024e-09,
|
| 1192 |
+
"loss": 0.5402,
|
| 1193 |
+
"step": 955
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 1.54,
|
| 1197 |
+
"learning_rate": 0.0,
|
| 1198 |
+
"loss": 0.5371,
|
| 1199 |
+
"step": 960
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.54,
|
| 1203 |
+
"eval_loss": 0.8011998534202576,
|
| 1204 |
+
"eval_runtime": 117.9168,
|
| 1205 |
+
"eval_samples_per_second": 16.961,
|
| 1206 |
+
"eval_steps_per_second": 4.24,
|
| 1207 |
+
"step": 960
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 1.54,
|
| 1211 |
+
"step": 960,
|
| 1212 |
+
"total_flos": 1.2724395167155487e+18,
|
| 1213 |
+
"train_loss": 0.6617152964075407,
|
| 1214 |
+
"train_runtime": 23627.0915,
|
| 1215 |
+
"train_samples_per_second": 0.65,
|
| 1216 |
+
"train_steps_per_second": 0.041
|
| 1217 |
}
|
| 1218 |
],
|
| 1219 |
"logging_steps": 5,
|
| 1220 |
+
"max_steps": 960,
|
| 1221 |
+
"num_train_epochs": 2,
|
| 1222 |
+
"save_steps": 192,
|
| 1223 |
+
"total_flos": 1.2724395167155487e+18,
|
| 1224 |
"trial_name": null,
|
| 1225 |
"trial_params": null
|
| 1226 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4728
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e4293e4b07049ac9ae8d94f77930f2db536f10de6e8e326cdf856056cf94f80
|
| 3 |
size 4728
|