| | --- |
| | license: apache-2.0 |
| | base_model: distilbert/distilgpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: finetuned-gpt2-model |
| | 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. --> |
| |
|
| | # finetuned-gpt2-model |
| |
|
| | This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2749 |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 147 | 0.2728 | |
| | | No log | 2.0 | 294 | 0.2595 | |
| | | No log | 3.0 | 441 | 0.2591 | |
| | | 0.3157 | 4.0 | 588 | 0.2594 | |
| | | 0.3157 | 5.0 | 735 | 0.2644 | |
| | | 0.3157 | 6.0 | 882 | 0.2648 | |
| | | 0.2486 | 7.0 | 1029 | 0.2684 | |
| | | 0.2486 | 8.0 | 1176 | 0.2746 | |
| | | 0.2486 | 9.0 | 1323 | 0.2729 | |
| | | 0.2486 | 10.0 | 1470 | 0.2749 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
