metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- tiny_shakespeare
model-index:
- name: gpt2.shak
results: []
gpt2.shak
This model is a fine-tuned version of gpt2 on the tiny_shakespeare dataset. It achieves the following results on the evaluation set:
- Loss: 3.1852
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: 3e-05
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3259 | 1.0 | 98 | 3.2194 |
| 3.3527 | 2.0 | 196 | 3.2017 |
| 3.1783 | 3.0 | 294 | 3.1900 |
| 3.2653 | 4.0 | 392 | 3.1863 |
| 3.2787 | 5.0 | 490 | 3.1852 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1