metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-evy
results: []
gpt2-evy
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3026
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 54 | 1.4017 |
| 1.3671 | 2.0 | 108 | 1.3194 |
| 1.3671 | 3.0 | 162 | 1.3072 |
| 0.957 | 4.0 | 216 | 1.3015 |
| 0.957 | 5.0 | 270 | 1.2899 |
| 0.729 | 6.0 | 324 | 1.3037 |
| 0.729 | 7.0 | 378 | 1.3026 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1