| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: real_model_ag_news_v0 |
| | 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. --> |
| |
|
| | # real_model_ag_news_v0 |
| |
|
| | 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: 2.8455 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - 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 |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 3.1714 | 1.0 | 12000 | 3.0084 | |
| | | 3.0247 | 2.0 | 24000 | 2.9176 | |
| | | 2.8844 | 3.0 | 36000 | 2.8744 | |
| | | 2.823 | 4.0 | 48000 | 2.8512 | |
| | | 2.804 | 5.0 | 60000 | 2.8455 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.3 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.20.3 |
| | |
