trelis_chess

This model is a fine-tuned version of mistral-community/pixtral-12b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3723

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
3.1927 0.4167 5 1.4520
1.39 0.8333 10 1.3222
0.5935 1.25 15 1.1814
0.4317 1.6667 20 1.3723

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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