bart-copy-mechanism

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

• Loss: 0.0335

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: 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
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4853	0.3658	2500	0.2050
0.1517	0.7315	5000	0.0839
0.0833	1.0973	7500	0.0652
0.0624	1.4631	10000	0.0491
0.0508	1.8288	12500	0.0441
0.0459	2.1946	15000	0.0410
0.0431	2.5604	17500	0.0387
0.0408	2.9261	20000	0.0373
0.0391	3.2919	22500	0.0361
0.0379	3.6576	25000	0.0350
0.0371	4.0234	27500	0.0343
0.0361	4.3892	30000	0.0339
0.0357	4.7549	32500	0.0335

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1