Training completed
Browse files- README.md +4 -4
- all_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +6 -5
README.md
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
---
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
-
library_name: peft
|
| 7 |
model-index:
|
| 8 |
- name: qwen_model_testing
|
| 9 |
results: []
|
|
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
|
|
| 42 |
- gradient_accumulation_steps: 10
|
| 43 |
- total_train_batch_size: 160
|
| 44 |
- total_eval_batch_size: 64
|
| 45 |
-
- optimizer:
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_ratio: 0.03
|
| 48 |
- training_steps: 10
|
|
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
|
|
| 54 |
### Framework versions
|
| 55 |
|
| 56 |
- PEFT 0.14.0
|
| 57 |
-
- Transformers 4.
|
| 58 |
- Pytorch 2.3.0+cu121
|
| 59 |
- Datasets 3.2.0
|
| 60 |
-
- Tokenizers 0.
|
|
|
|
| 1 |
---
|
| 2 |
+
library_name: peft
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: qwen_model_testing
|
| 9 |
results: []
|
|
|
|
| 42 |
- gradient_accumulation_steps: 10
|
| 43 |
- total_train_batch_size: 160
|
| 44 |
- total_eval_batch_size: 64
|
| 45 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_ratio: 0.03
|
| 48 |
- training_steps: 10
|
|
|
|
| 54 |
### Framework versions
|
| 55 |
|
| 56 |
- PEFT 0.14.0
|
| 57 |
+
- Transformers 4.51.3
|
| 58 |
- Pytorch 2.3.0+cu121
|
| 59 |
- Datasets 3.2.0
|
| 60 |
+
- Tokenizers 0.21.2
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 0.0182648401826484,
|
| 3 |
"total_flos": 1.394108846267433e+17,
|
| 4 |
-
"train_loss": 4.
|
| 5 |
-
"train_runtime": 166.
|
| 6 |
-
"train_samples_per_second": 9.
|
| 7 |
"train_steps_per_second": 0.06
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 0.0182648401826484,
|
| 3 |
"total_flos": 1.394108846267433e+17,
|
| 4 |
+
"train_loss": 4.495834732055664,
|
| 5 |
+
"train_runtime": 166.6924,
|
| 6 |
+
"train_samples_per_second": 9.599,
|
| 7 |
"train_steps_per_second": 0.06
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 0.0182648401826484,
|
| 3 |
"total_flos": 1.394108846267433e+17,
|
| 4 |
-
"train_loss": 4.
|
| 5 |
-
"train_runtime": 166.
|
| 6 |
-
"train_samples_per_second": 9.
|
| 7 |
"train_steps_per_second": 0.06
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 0.0182648401826484,
|
| 3 |
"total_flos": 1.394108846267433e+17,
|
| 4 |
+
"train_loss": 4.495834732055664,
|
| 5 |
+
"train_runtime": 166.6924,
|
| 6 |
+
"train_samples_per_second": 9.599,
|
| 7 |
"train_steps_per_second": 0.06
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 0.0182648401826484,
|
|
@@ -10,18 +11,18 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.0182648401826484,
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
"learning_rate": 0.0001,
|
| 15 |
-
"loss": 4.
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.0182648401826484,
|
| 20 |
"step": 10,
|
| 21 |
"total_flos": 1.394108846267433e+17,
|
| 22 |
-
"train_loss": 4.
|
| 23 |
-
"train_runtime": 166.
|
| 24 |
-
"train_samples_per_second": 9.
|
| 25 |
"train_steps_per_second": 0.06
|
| 26 |
}
|
| 27 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 0.0182648401826484,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.0182648401826484,
|
| 14 |
+
"grad_norm": 0.2188371866941452,
|
| 15 |
"learning_rate": 0.0001,
|
| 16 |
+
"loss": 4.4958,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.0182648401826484,
|
| 21 |
"step": 10,
|
| 22 |
"total_flos": 1.394108846267433e+17,
|
| 23 |
+
"train_loss": 4.495834732055664,
|
| 24 |
+
"train_runtime": 166.6924,
|
| 25 |
+
"train_samples_per_second": 9.599,
|
| 26 |
"train_steps_per_second": 0.06
|
| 27 |
}
|
| 28 |
],
|