---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: ChessQween-124m
  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. -->

# ChessQween-124m

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1389

## 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: 0.00015
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.0290        | 0.1008 | 78   | 3.8540          |
| 1.8302        | 0.2017 | 156  | 1.7799          |
| 1.5722        | 0.3025 | 234  | 1.5030          |
| 1.4223        | 0.4034 | 312  | 1.3733          |
| 1.3197        | 0.5042 | 390  | 1.2666          |
| 1.2458        | 0.6050 | 468  | 1.2069          |
| 1.2211        | 0.7059 | 546  | 1.1701          |
| 1.1914        | 0.8067 | 624  | 1.1490          |
| 1.1668        | 0.9076 | 702  | 1.1399          |
| 1.1770        | 1.0    | 774  | 1.1389          |


### Framework versions

- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2