bart-base-chat-512-seq

This model is a fine-tuned version of GuysTrans/bart-base-chat-512-seq on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0615
• Rouge1: 11.7167
• Rouge2: 2.9833
• Rougel: 9.4938
• Rougelsum: 11.2455
• Gen Len: 19.991

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4835	1.0	14598	3.0615	11.7167	2.9833	9.4938	11.2455	19.991

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3