chess-410m

This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8764
• eval_runtime: 45.8129
• eval_samples_per_second: 170.039
• eval_steps_per_second: 2.663
• epoch: 0.08
• step: 968

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2