metadata
license: mit
tags:
- generated_from_trainer
base_model: gpt2
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: 1.2879
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 48 | 1.4347 |
| No log | 2.0 | 96 | 1.2810 |
| 1.3199 | 3.0 | 144 | 1.2442 |
| 1.3199 | 4.0 | 192 | 1.2476 |
| 0.879 | 5.0 | 240 | 1.2303 |
| 0.879 | 6.0 | 288 | 1.2328 |
| 0.7449 | 7.0 | 336 | 1.2577 |
| 0.7449 | 8.0 | 384 | 1.2879 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1