metadata
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: chessgpt-medium-l
results: []
chessgpt-medium-l
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7634
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 |
|---|---|---|---|
| 1.4326 | 0.064 | 1000 | 1.3596 |
| 1.2424 | 0.128 | 2000 | 1.1829 |
| 1.1278 | 0.192 | 3000 | 1.0753 |
| 1.0296 | 0.256 | 4000 | 0.9877 |
| 0.9605 | 0.32 | 5000 | 0.9224 |
| 0.9193 | 0.384 | 6000 | 0.8874 |
| 0.8911 | 0.448 | 7000 | 0.8600 |
| 0.8707 | 0.512 | 8000 | 0.8405 |
| 0.8521 | 0.576 | 9000 | 0.8221 |
| 0.8391 | 0.64 | 10000 | 0.8089 |
| 0.8242 | 0.704 | 11000 | 0.7972 |
| 0.8146 | 0.768 | 12000 | 0.7858 |
| 0.8047 | 0.832 | 13000 | 0.7769 |
| 0.7974 | 0.896 | 14000 | 0.7701 |
| 0.7916 | 0.96 | 15000 | 0.7651 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1