bart-base

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

• Loss: 0.2383
• Rouge1: 43.8254
• Rouge2: 20.1579
• Rougel: 36.9652
• Rougelsum: 39.6438
• Gen Len: 18.0

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.2152	1.0	4632	0.2446	43.1632	19.3357	36.1382	38.8081	18.0
0.1758	2.0	9264	0.2383	43.8254	20.1579	36.9652	39.6438	18.0

Framework versions

• Transformers 4.36.1
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.15.2