| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: gpt2-multi |
| | 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. --> |
| |
|
| | # gpt2-multi |
| |
|
| | 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: 5.6627 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 12 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.8011 | 1.0 | 6 | 3.8540 | |
| | | 1.6433 | 2.0 | 12 | 4.4045 | |
| | | 1.4762 | 3.0 | 18 | 4.2463 | |
| | | 1.3941 | 4.0 | 24 | 4.9549 | |
| | | 1.3447 | 5.0 | 30 | 5.3510 | |
| | | 1.337 | 6.0 | 36 | 4.9287 | |
| | | 1.36 | 7.0 | 42 | 5.3027 | |
| | | 1.0973 | 8.0 | 48 | 5.2258 | |
| | | 1.0005 | 9.0 | 54 | 5.7433 | |
| | | 0.9298 | 10.0 | 60 | 5.5088 | |
| | | 1.0995 | 11.0 | 66 | 5.5535 | |
| | | 1.0031 | 12.0 | 72 | 5.6627 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.27.2 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
