bart-cnn-science-v3-e2-v4-e2-manual

This model is a fine-tuned version of theojolliffe/bart-cnn-science-v3-e2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9189
• Rouge1: 55.982
• Rouge2: 36.9147
• Rougel: 39.1563
• Rougelsum: 53.5959
• Gen Len: 142.0

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	42	0.9365	53.4332	34.0477	36.9735	51.1918	142.0
No log	2.0	84	0.9189	55.982	36.9147	39.1563	53.5959	142.0

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1