bart-large-cnn-samsum-ElectrifAi_v7

This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3396
• Rouge1: 53.6259
• Rouge2: 29.3085
• Rougel: 39.5423
• Rougelsum: 51.4836
• Gen Len: 105.963

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	24	1.3377	53.4184	29.2938	38.7671	51.2253	114.9259
No log	2.0	48	1.3225	53.1653	29.2807	40.6062	50.9565	116.037
No log	3.0	72	1.3396	53.6259	29.3085	39.5423	51.4836	105.963

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.13.2