iguerrasevillano/BART-summ-v1

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

• Train Loss: 2.8544
• Validation Loss: 3.5359
• Train Rouge1: 31.2594
• Train Rouge2: 8.1428
• Train Rougel: 22.0263
• Train Rougelsum: 23.4245
• Train Gen Len: 43.0
• Epoch: 2

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.3082	3.5055	33.4698	11.4810	25.8186	26.5162	43.625	0
3.0832	3.4774	31.7424	10.0784	23.7737	24.7615	42.625	1
2.8544	3.5359	31.2594	8.1428	22.0263	23.4245	43.0	2

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.1