metadata
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: chessgpt-medium-s
results: []
chessgpt-medium-s
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0974
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9222 | 0.08 | 125 | 1.6441 |
| 1.5847 | 0.16 | 250 | 1.4532 |
| 1.4585 | 0.24 | 375 | 1.3629 |
| 1.3801 | 0.32 | 500 | 1.3059 |
| 1.3296 | 0.4 | 625 | 1.2550 |
| 1.2856 | 0.48 | 750 | 1.2185 |
| 1.2502 | 0.56 | 875 | 1.1902 |
| 1.2231 | 0.64 | 1000 | 1.1635 |
| 1.1978 | 0.72 | 1125 | 1.1451 |
| 1.1823 | 0.8 | 1250 | 1.1242 |
| 1.1688 | 0.88 | 1375 | 1.1113 |
| 1.1544 | 0.96 | 1500 | 1.1008 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1