| --- |
| library_name: peft |
| license: mit |
| base_model: gpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Se124M500KInfSimple |
| 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. --> |
|
|
| # Se124M500KInfSimple |
|
|
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4475 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.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: 50 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:------:|:---------------:| |
| | 0.1287 | 1.0 | 8317 | 0.5023 | |
| | 0.1249 | 2.0 | 16634 | 0.4836 | |
| | 0.1214 | 3.0 | 24951 | 0.4746 | |
| | 0.1225 | 4.0 | 33268 | 0.4691 | |
| | 0.1212 | 5.0 | 41585 | 0.4653 | |
| | 0.1192 | 6.0 | 49902 | 0.4625 | |
| | 0.1203 | 7.0 | 58219 | 0.4595 | |
| | 0.1182 | 8.0 | 66536 | 0.4579 | |
| | 0.117 | 9.0 | 74853 | 0.4565 | |
| | 0.1184 | 10.0 | 83170 | 0.4543 | |
| | 0.1165 | 11.0 | 91487 | 0.4539 | |
| | 0.116 | 12.0 | 99804 | 0.4528 | |
| | 0.117 | 13.0 | 108121 | 0.4515 | |
| | 0.1161 | 14.0 | 116438 | 0.4512 | |
| | 0.1149 | 15.0 | 124755 | 0.4510 | |
| | 0.1157 | 16.0 | 133072 | 0.4503 | |
| | 0.1162 | 17.0 | 141389 | 0.4497 | |
| | 0.1155 | 18.0 | 149706 | 0.4497 | |
| | 0.115 | 19.0 | 158023 | 0.4496 | |
| | 0.1156 | 20.0 | 166340 | 0.4488 | |
| | 0.1156 | 21.0 | 174657 | 0.4492 | |
| | 0.114 | 22.0 | 182974 | 0.4483 | |
| | 0.1122 | 23.0 | 191291 | 0.4488 | |
| | 0.1134 | 24.0 | 199608 | 0.4480 | |
| | 0.114 | 25.0 | 207925 | 0.4476 | |
| | 0.1159 | 26.0 | 216242 | 0.4481 | |
| | 0.115 | 27.0 | 224559 | 0.4475 | |
| | 0.1145 | 28.0 | 232876 | 0.4475 | |
| | 0.1141 | 29.0 | 241193 | 0.4477 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.15.1 |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu118 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
