benozen/chess-finetune-output

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chess-finetune-output

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.

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
• —trainbatchsize: 200
• —evalbatchsize: 200
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 1600
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.05
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.2.0
• —Pytorch 2.7.1+cu118
• —Datasets 4.4.1
• —Tokenizers 0.22.1