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mt5-small-finetuned-1.0.2
jamesesguerra/mt5-small-finetuned-1.0.2
mt5-small-finetuned-1.0.2 is a machine learning model from jamesesguerra. 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
- Sep 26, 2022
- Updated
- Sep 28, 2022
- SHA
- 63c7c30d
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-1.0.2
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1570
- Rouge1: 55.7734
- Rouge2: 52.6951
- Rougel: 55.5618
- Rougelsum: 55.5924
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: 0.0004
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.2482 | 1.0 | 1161 | 0.1914 | 55.7683 | 52.699 | 55.5602 | 55.5867 |
| 0.1477 | 2.0 | 2322 | 0.1570 | 55.7734 | 52.6951 | 55.5618 | 55.5924 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Sep 26, 2022
- Updated
- Sep 28, 2022