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bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum – AI Model by EP9 | AlphaNeural AI
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bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum
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transformers
pytorch
tensorboard
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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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
