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mt5-small-finetuned-amazon-en-es
Terps/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from Terps. 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
- Sep 7, 2023
- Updated
- Sep 7, 2023
- SHA
- 6951aa91
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Base models
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 None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0279
- Rouge1: 16.4284
- Rouge2: 7.8601
- Rougel: 16.0029
- Rougelsum: 16.0246
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 |
|---|---|---|---|---|---|---|---|
| 4.4194 | 1.0 | 1209 | 3.3097 | 14.9867 | 6.4886 | 14.4174 | 14.4646 |
| 3.8132 | 2.0 | 2418 | 3.1602 | 16.1474 | 7.9815 | 15.5342 | 15.6445 |
| 3.5412 | 3.0 | 3627 | 3.0789 | 17.4468 | 8.8014 | 16.9142 | 17.002 |
| 3.3861 | 4.0 | 4836 | 3.0775 | 15.903 | 7.4423 | 15.4008 | 15.3871 |
| 3.2952 | 5.0 | 6045 | 3.0480 | 15.8646 | 7.3936 | 15.3989 | 15.4395 |
| 3.2155 | 6.0 | 7254 | 3.0354 | 16.5887 | 8.0624 | 16.2377 | 16.2562 |
| 3.1896 | 7.0 | 8463 | 3.0273 | 17.1092 | 8.5391 | 16.6507 | 16.7272 |
| 3.1594 | 8.0 | 9672 | 3.0279 | 16.4284 | 7.8601 | 16.0029 | 16.0246 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023