metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-nathan
results: []
gpt2-nathan
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7510
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 204 | 4.7344 |
| No log | 2.0 | 408 | 4.7428 |
| 3.8875 | 3.0 | 612 | 4.7425 |
| 3.8875 | 4.0 | 816 | 4.7456 |
| 3.6229 | 4.9 | 1000 | 4.7510 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2