trainer_output

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

• Loss: 2.9122

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 1337
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 8
• total_train_batch_size: 1024
• total_eval_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10000
• training_steps: 13794

Training results

Training Loss	Epoch	Step	Validation Loss
4.4848	0.3625	5000	4.3929
2.9899	0.7249	10000	2.9122

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu126
• Datasets 2.21.0
• Tokenizers 0.21.1