| --- |
| library_name: transformers |
| license: other |
| base_model: facebook/opt-125m |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: getcode |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # getcode |
|
|
| This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3129 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0004 |
| - train_batch_size: 16 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-------:|:----:|:---------------:| |
| | No log | 1.0 | 22 | 1.8588 | |
| | No log | 2.0 | 44 | 1.4885 | |
| | No log | 3.0 | 66 | 1.3922 | |
| | No log | 4.0 | 88 | 1.3830 | |
| | No log | 5.0 | 110 | 1.3547 | |
| | No log | 6.0 | 132 | 1.3556 | |
| | No log | 7.0 | 154 | 1.3672 | |
| | No log | 8.0 | 176 | 1.3509 | |
| | No log | 9.0 | 198 | 1.3414 | |
| | No log | 10.0 | 220 | 1.3428 | |
| | No log | 11.0 | 242 | 1.3361 | |
| | No log | 12.0 | 264 | 1.3332 | |
| | No log | 13.0 | 286 | 1.3333 | |
| | No log | 14.0 | 308 | 1.3280 | |
| | No log | 15.0 | 330 | 1.3232 | |
| | No log | 16.0 | 352 | 1.3215 | |
| | No log | 17.0 | 374 | 1.3185 | |
| | No log | 18.0 | 396 | 1.3142 | |
| | No log | 19.0 | 418 | 1.3129 | |
| | No log | 19.0947 | 420 | 1.3129 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
