End of training
Browse files
README.md
CHANGED
@@ -34,14 +34,15 @@ More information needed
|
|
34 |
|
35 |
The following hyperparameters were used during training:
|
36 |
- learning_rate: 2e-05
|
37 |
-
- train_batch_size:
|
38 |
-
- eval_batch_size:
|
39 |
- seed: 42
|
40 |
-
- gradient_accumulation_steps:
|
41 |
-
- total_train_batch_size:
|
42 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
43 |
- lr_scheduler_type: linear
|
44 |
-
-
|
|
|
45 |
- mixed_precision_training: Native AMP
|
46 |
|
47 |
### Training results
|
@@ -53,4 +54,4 @@ The following hyperparameters were used during training:
|
|
53 |
- Transformers 4.51.3
|
54 |
- Pytorch 2.5.1+cu124
|
55 |
- Datasets 3.2.0
|
56 |
-
- Tokenizers 0.21.
|
|
|
34 |
|
35 |
The following hyperparameters were used during training:
|
36 |
- learning_rate: 2e-05
|
37 |
+
- train_batch_size: 3
|
38 |
+
- eval_batch_size: 3
|
39 |
- seed: 42
|
40 |
+
- gradient_accumulation_steps: 4
|
41 |
+
- total_train_batch_size: 12
|
42 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
43 |
- lr_scheduler_type: linear
|
44 |
+
- lr_scheduler_warmup_steps: 200
|
45 |
+
- num_epochs: 2
|
46 |
- mixed_precision_training: Native AMP
|
47 |
|
48 |
### Training results
|
|
|
54 |
- Transformers 4.51.3
|
55 |
- Pytorch 2.5.1+cu124
|
56 |
- Datasets 3.2.0
|
57 |
+
- Tokenizers 0.21.1
|