result_model

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

• Loss: 1.3277
• Rouge1: 0.2511
• Rouge2: 0.2078
• Rougel: 0.2442
• Rougelsum: 0.2449
• Gen Len: 20.9949

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use 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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6914	1.0	1895	1.4239	0.2484	0.2019	0.2408	0.2413	21.0
1.4271	2.0	3790	1.3606	0.2514	0.2065	0.2439	0.2448	20.9857
1.2858	3.0	5685	1.3306	0.2501	0.2069	0.2429	0.2437	21.0
1.196	4.0	7580	1.3277	0.2511	0.2078	0.2442	0.2449	20.9949

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0