metadata
base_model: austindavis/gpt2-pretrained-lichess-uci
tags:
- generated_from_trainer
model-index:
- name: gpt2-pretrained-lichess-uci-finetuned-lichess-uci
results: []
gpt2-pretrained-lichess-uci-finetuned-lichess-uci
This model is a fine-tuned version of austindavis/gpt2-pretrained-lichess-uci on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3084
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6794 | 1.0 | 4099 | 1.5886 |
| 1.5251 | 2.0 | 8198 | 1.4533 |
| 1.429 | 3.0 | 12297 | 1.3812 |
| 1.3611 | 4.0 | 16396 | 1.3369 |
| 1.3108 | 5.0 | 20495 | 1.3135 |
| 1.2809 | 6.0 | 24594 | 1.3084 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1