| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: openai-community/gpt2-medium |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: tinystories_baseline_full |
| | 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/6v0gm5ka) |
| | # tinystories_baseline_full |
| |
|
| | 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: 1.3218 |
| |
|
| | ## 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: 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 | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.4412 | 0.6196 | 400 | 1.4200 | |
| | | 1.3608 | 1.2391 | 800 | 1.3685 | |
| | | 1.3188 | 1.8587 | 1200 | 1.3417 | |
| | | 1.3296 | 2.4782 | 1600 | 1.3260 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.1 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
| |
|
