This model is a fine-tuned version of TannerGladson/chess-roberta on the TannerGladson/chess-roberta-whole-move-tuning dataset.
It achieves the following results on the evaluation set:
Loss: 0.2611
Accuracy: 0.9024
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
