bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum

This model is a fine-tuned version of mrm8488/bert2bert_shared-spanish-finetuned-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3690
• Rouge1: 50.02
• Rouge2: 35.706
• Rougel: 46.6253
• Rougelsum: 46.6412
• Gen Len: 22.1176

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: 16
• eval_batch_size: 16
• 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
2.5969	1.0	3090	2.4559	49.4282	35.2705	46.095	46.0994	22.5422
2.3318	2.0	6180	2.3690	50.02	35.706	46.6253	46.6412	22.1176

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2