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bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
0xhaz/bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
bert2bert-cnn_dailymail-fp16-finetuned-1.0.0 is a machine learning model from 0xhaz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Feb 26, 2023
- Updated
- Mar 20, 2023
- SHA
- be25234d
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- encoder-decoder
- Created
- Feb 26, 2023
- Updated
- Mar 20, 2023