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bert2bert-cnn_dailymail-fp16-finetuned-1.0.0 – AI Model by 0xhaz | AlphaNeural AI
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bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
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transformers
pytorch
tensorboard
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
This model is a fine-tuned version of
patrickvonplaten/bert2bert-cnn_dailymail-fp16
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3346
Rouge1: 46.3609
Rouge2: 18.8105
Rougel: 30.215
Rougelsum: 42.3642
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: 5e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.8263
1.0
586
2.4478
45.3367
18.3604
29.713
41.2805
2.1264
2.0
1172
2.3346
46.3609
18.8105
30.215
42.3642
Framework versions
Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.0
Tokenizers 0.13.2
