metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: chessgpt2-small-s
results: []
chessgpt2-small-s
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9942
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: 0.0004
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.04
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2324 | 0.2560 | 1000 | 1.6718 |
| 1.5685 | 0.5119 | 2000 | 1.3914 |
| 1.3827 | 0.7679 | 3000 | 1.2685 |
| 1.275 | 1.0238 | 4000 | 1.1896 |
| 1.1969 | 1.2798 | 5000 | 1.1338 |
| 1.1498 | 1.5357 | 6000 | 1.0901 |
| 1.1102 | 1.7917 | 7000 | 1.0563 |
| 1.0698 | 2.0476 | 8000 | 1.0300 |
| 1.0221 | 2.3036 | 9000 | 1.0122 |
| 1.0079 | 2.5595 | 10000 | 1.0003 |
| 0.9988 | 2.8155 | 11000 | 0.9942 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1