---
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: chessgpt-medium-s
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# chessgpt-medium-s

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/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