bart-cnn-samsum-peft

This model is a fine-tuned version of 100daggers/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 0.0917

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-06
• 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
0.0933	1.0	185	0.0918
0.0933	2.0	370	0.0917
0.0887	3.0	555	0.0917
0.0849	4.0	740	0.0917
0.0904	5.0	925	0.0917

Framework versions

• PEFT 0.12.0
• Transformers 4.44.1
• Pytorch 2.0.1
• Datasets 2.21.0
• Tokenizers 0.19.1