metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2
results: []
gpt2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6530
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.93 | 7 | 8.2816 |
| 9.7888 | 2.0 | 15 | 6.6539 |
| 8.253 | 2.93 | 22 | 5.9839 |
| 7.4098 | 4.0 | 30 | 5.5296 |
| 7.4098 | 4.93 | 37 | 5.1792 |
| 6.6836 | 6.0 | 45 | 4.8581 |
| 6.2698 | 6.93 | 52 | 4.6282 |
| 5.8092 | 8.0 | 60 | 4.4243 |
| 5.8092 | 8.93 | 67 | 4.2668 |
| 5.3803 | 10.0 | 75 | 4.1214 |
| 5.3501 | 10.93 | 82 | 4.0024 |
| 5.1278 | 12.0 | 90 | 3.8835 |
| 5.1278 | 12.93 | 97 | 3.8106 |
| 4.9471 | 14.0 | 105 | 3.7422 |
| 4.9279 | 14.93 | 112 | 3.7098 |
| 4.8129 | 16.0 | 120 | 3.6740 |
| 4.8129 | 16.93 | 127 | 3.6601 |
| 4.7258 | 18.0 | 135 | 3.6535 |
| 4.8643 | 18.67 | 140 | 3.6530 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2