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mt5-small-finetuned-beer-ctg-en
EJaalborg2022/mt5-small-finetuned-beer-ctg-en
mt5-small-finetuned-beer-ctg-en is a machine learning model from EJaalborg2022. 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. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023
- SHA
- bf7b80d3
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-beer-ctg-en
This model is a fine-tuned version of google/mt5-small on the beer_reviews_label_drift_neg dataset. It achieves the following results on the evaluation set:
- Loss: 1.5562
- Rouge1: 26.1727
- Rouge2: 15.5176
- Rougel: 26.1813
- Rougelsum: 26.5943
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: 0.01
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 5.6484 | 1.0 | 115 | 3.7051 | 14.9617 | 2.9719 | 14.9901 | 15.104 |
| 3.7622 | 2.0 | 230 | 3.2168 | 21.9807 | 0.0 | 21.8357 | 21.8277 |
| 3.4237 | 3.0 | 345 | 2.8767 | 8.9642 | 5.2358 | 8.9597 | 9.0307 |
| 2.8204 | 4.0 | 460 | 2.4836 | 21.9807 | 0.0 | 21.8357 | 21.8277 |
| 2.3335 | 5.0 | 575 | 2.2340 | 8.9642 | 5.2358 | 8.9597 | 9.0307 |
| 2.1118 | 6.0 | 690 | 1.9121 | 8.9642 | 5.2358 | 8.9597 | 9.0307 |
| 1.7533 | 7.0 | 805 | 1.6571 | 25.9752 | 13.5161 | 25.8609 | 26.2153 |
| 1.5755 | 8.0 | 920 | 1.5562 | 26.1727 | 15.5176 | 26.1813 | 26.5943 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023