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mt5-small-finetuned-amazon-en-de
anibahug/mt5-small-finetuned-amazon-en-de
mt5-small-finetuned-amazon-en-de is a summarization model from anibahug. 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
- Jun 18, 2022
- Updated
- Jun 18, 2022
- SHA
- d80260e6
Try a prompt
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-de
This model is a fine-tuned version of google/mt5-small on the Amazon reviews multi dataset. It achieves the following results on the evaluation set:
- Loss: 3.2896
- Rouge1: 14.7163
- Rouge2: 6.6341
- Rougel: 14.2052
- Rougelsum: 14.2318
Model description
the model can summarize texts for english and deutsch
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
the training was done on google colab ( using it's free GPU)
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 |
|---|---|---|---|---|---|---|---|
| 7.2925 | 1.0 | 1276 | 3.5751 | 13.6254 | 6.0527 | 13.109 | 13.1438 |
| 4.0677 | 2.0 | 2552 | 3.4031 | 13.5907 | 6.068 | 13.3526 | 13.2471 |
| 3.7458 | 3.0 | 3828 | 3.3434 | 14.7229 | 6.8482 | 14.1443 | 14.2218 |
| 3.5831 | 4.0 | 5104 | 3.3353 | 14.8696 | 6.6371 | 14.1342 | 14.2907 |
| 3.4841 | 5.0 | 6380 | 3.3037 | 14.233 | 6.2318 | 13.9218 | 13.9781 |
| 3.4142 | 6.0 | 7656 | 3.2914 | 13.7344 | 5.9446 | 13.5476 | 13.6362 |
| 3.3587 | 7.0 | 8932 | 3.2959 | 14.2007 | 6.1905 | 13.5255 | 13.5237 |
| 3.3448 | 8.0 | 10208 | 3.2896 | 14.7163 | 6.6341 | 14.2052 | 14.2318 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jun 18, 2022
- Updated
- Jun 18, 2022