metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-wikitext2
results: []
gpt2-finetuned-wikitext2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3943
- Perplexity: 29.7930
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9315 | 1.0 | 49 | 3.6200 |
| 3.8128 | 1.0 | 112 | 3.4878 |
| 3.5448 | 2.0 | 195 | 3.4476 |
| 3.4743 | 2.0 | 258 | 3.4325 |
| 3.5040 | 3.0 | 391 | 3.4216 |
| 3.4371 | 3.0 | 404 | 3.4142 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3