train_2

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

• Loss: 0.1577

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: 0.0006047816549758072
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.964129172421366,0.8471340191802936) and epsilon=1.51279024695782e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2593
• num_epochs: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.2814	1.0	6351	0.1742
0.2857	2.0	12702	0.1582
0.2872	3.0	19053	0.1529
0.2733	4.0	25404	0.1528
0.3071	5.0	31755	0.1805
0.297	6.0	38106	0.1577

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0.dev20241217
• Datasets 2.20.0
• Tokenizers 0.21.0