run2-babylm-shuffled-2345-gpt2-small

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run2-babylm-shuffled-2345-gpt2-small

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.0468

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: 0.0002
• train_batch_size: 64
• eval_batch_size: 64
• seed: 2345
• gradient_accumulation_steps: 8
• total_train_batch_size: 512
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_warmup_steps: 100
• num_epochs: 20.0

Training results

Framework versions

• Transformers 5.13.0
• Pytorch 2.11.0+cu128
• Datasets 5.0.0
• Tokenizers 0.22.2