---
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: chessgpt-medium-m
  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-m

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: 0.9777

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6517        | 0.08  | 250  | 1.5222          |
| 1.4486        | 0.16  | 500  | 1.3596          |
| 1.3463        | 0.24  | 750  | 1.2706          |
| 1.2623        | 0.32  | 1000 | 1.1986          |
| 1.2115        | 0.4   | 1250 | 1.1483          |
| 1.167         | 0.48  | 1500 | 1.1158          |
| 1.1327        | 0.56  | 1750 | 1.0757          |
| 1.1058        | 0.64  | 2000 | 1.0555          |
| 1.0798        | 0.72  | 2250 | 1.0320          |
| 1.0585        | 0.8   | 2500 | 1.0099          |
| 1.0435        | 0.88  | 2750 | 0.9929          |
| 1.0276        | 0.96  | 3000 | 0.9811          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1