metadata
base_model: gpt2
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: CPTGPT2
results: []
CPTGPT2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6245
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 140 | 2.8133 |
| No log | 2.0 | 280 | 2.7469 |
| No log | 3.0 | 420 | 2.7122 |
| 2.8365 | 4.0 | 560 | 2.6884 |
| 2.8365 | 5.0 | 700 | 2.6759 |
| 2.8365 | 6.0 | 840 | 2.6615 |
| 2.8365 | 7.0 | 980 | 2.6519 |
| 2.543 | 8.0 | 1120 | 2.6480 |
| 2.543 | 9.0 | 1260 | 2.6392 |
| 2.543 | 10.0 | 1400 | 2.6332 |
| 2.402 | 11.0 | 1540 | 2.6298 |
| 2.402 | 12.0 | 1680 | 2.6257 |
| 2.402 | 13.0 | 1820 | 2.6257 |
| 2.402 | 14.0 | 1960 | 2.6266 |
| 2.3078 | 15.0 | 2100 | 2.6239 |
| 2.3078 | 16.0 | 2240 | 2.6246 |
| 2.3078 | 17.0 | 2380 | 2.6240 |
| 2.2519 | 18.0 | 2520 | 2.6252 |
| 2.2519 | 19.0 | 2660 | 2.6250 |
| 2.2519 | 20.0 | 2800 | 2.6245 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1