| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: openai-community/gpt2-medium |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: simplewiki_upsampled_tom |
| | 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. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ptsvil/tom-training/runs/keqgv1un) |
| | # simplewiki_upsampled_tom |
| |
|
| | This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.1560 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 1 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 4.0268 | 0.5387 | 20 | 3.4559 | |
| | | 3.3888 | 1.0774 | 40 | 3.2204 | |
| | | 3.2608 | 1.6162 | 60 | 3.1798 | |
| | | 3.0763 | 2.1549 | 80 | 3.1624 | |
| | | 3.0912 | 2.6936 | 100 | 3.1531 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.1 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
| |
|
