train_2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1153

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: 1e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_APEX_FUSED with betas=(0.826646043090655,0.991636944120939) and epsilon=3.4341677539323e-07 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5000
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.0237	1.0	18731	0.1124
0.0216	2.0	37462	0.1128
0.0201	3.0	56193	0.1153

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu126
• Datasets 3.3.0
• Tokenizers 0.21.1