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mt5-small-finetuned-amazon-en-es
shivaniNK8/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from shivaniNK8. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jul 14, 2022
- Updated
- Jul 14, 2022
- SHA
- f1d11300
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Datasets
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. -->
mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 2.4413
- Rouge1: 22.6804
- Rouge2: 8.3299
- Rougel: 17.9992
- Rougelsum: 20.7342
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.77 | 1.0 | 240 | 2.7230 | 17.25 | 5.629 | 14.0381 | 15.8959 |
| 3.7586 | 2.0 | 480 | 2.5949 | 19.4577 | 6.9354 | 15.772 | 17.8773 |
| 3.4314 | 3.0 | 720 | 2.5355 | 20.0511 | 7.6417 | 16.0889 | 18.4551 |
| 3.2892 | 4.0 | 960 | 2.4845 | 20.3951 | 7.88 | 16.601 | 19.0048 |
| 3.1954 | 5.0 | 1200 | 2.4612 | 20.1806 | 7.2656 | 16.2658 | 18.6222 |
| 3.1128 | 6.0 | 1440 | 2.4544 | 22.5647 | 8.0899 | 17.8057 | 20.487 |
| 3.103 | 7.0 | 1680 | 2.4498 | 22.7048 | 8.384 | 17.978 | 20.6871 |
| 3.0708 | 8.0 | 1920 | 2.4413 | 22.6804 | 8.3299 | 17.9992 | 20.7342 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jul 14, 2022
- Updated
- Jul 14, 2022