---
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: chessgpt2-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. -->

# chessgpt2-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: 1.0790

## 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: 5e-05
- 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: 0.025
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.3553        | 0.2560 | 1000  | 1.7539          |
| 1.6483        | 0.5119 | 2000  | 1.4751          |
| 1.4597        | 0.7679 | 3000  | 1.3417          |
| 1.3504        | 1.0238 | 4000  | 1.2587          |
| 1.2717        | 1.2798 | 5000  | 1.2104          |
| 1.2263        | 1.5357 | 6000  | 1.1654          |
| 1.1899        | 1.7917 | 7000  | 1.1346          |
| 1.154         | 2.0476 | 8000  | 1.1105          |
| 1.1124        | 2.3036 | 9000  | 1.0941          |
| 1.1002        | 2.5595 | 10000 | 1.0835          |
| 1.093         | 2.8155 | 11000 | 1.0790          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1