bart-cnn-samsum-finetuned

This model is a fine-tuned version of dayaburamshetty/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 0.1341

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1191	1.0	74	0.1344
0.0974	2.0	148	0.1341
0.1043	3.0	222	0.1342
0.0875	4.0	296	0.1341
0.0767	5.0	370	0.1341

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0