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fine-tuned-mt5-trainer-epoch10
HsuuHsuu/fine-tuned-mt5-trainer-epoch10
fine-tuned-mt5-trainer-epoch10 is a machine learning model from HsuuHsuu. 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
- Dec 6, 2024
- Updated
- Dec 9, 2024
- SHA
- 74ab541c
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. -->
fine-tuned-mt5-trainer-epoch10
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: 5.6810
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.3109 | 1.0 | 572 | 6.9330 |
| 7.5219 | 2.0 | 1144 | 6.3090 |
| 6.9492 | 3.0 | 1716 | 6.0493 |
| 6.6703 | 4.0 | 2288 | 5.9095 |
| 6.5032 | 5.0 | 2860 | 5.8189 |
| 6.3788 | 6.0 | 3432 | 5.7736 |
| 6.291 | 7.0 | 4004 | 5.7181 |
| 6.2353 | 8.0 | 4576 | 5.7021 |
| 6.1927 | 9.0 | 5148 | 5.6837 |
| 6.1687 | 10.0 | 5720 | 5.6810 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Dec 6, 2024
- Updated
- Dec 9, 2024