CoT-multiDomain-Summ

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1456

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	438	1.2374
4.18	2.0	876	1.1642
1.1654	3.0	1314	1.1482
1.0725	4.0	1752	1.1456

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1