pegasus-reviews

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: 4.3085

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.8541	1.0	1	4.3114
0.8178	2.0	2	4.3112
0.9366	3.0	3	4.3108
0.831	4.0	4	4.3102
0.8294	5.0	5	4.3094
0.2781	5.33	6	4.3085

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0
• Datasets 2.12.0
• Tokenizers 0.14.1