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mt5-small-finetuned-amazon-en-es
cotysong113/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from cotysong113. 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
- Nov 11, 2024
- Updated
- Dec 12, 2024
- SHA
- 14b07c07
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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: 0.2517
- Rouge1: 14.7495
- Rouge2: 7.2226
- Rougel: 14.0109
- Rougelsum: 14.1583
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 OptimizerNames.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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.3426 | 1.0 | 838 | 0.2712 | 12.6317 | 6.3377 | 12.1288 | 12.2498 |
| 0.3091 | 2.0 | 1676 | 0.2616 | 12.6631 | 6.1716 | 12.439 | 12.5201 |
| 0.2878 | 3.0 | 2514 | 0.2570 | 14.477 | 7.5074 | 13.7856 | 13.9647 |
| 0.2766 | 4.0 | 3352 | 0.2551 | 14.132 | 7.2241 | 13.6744 | 13.831 |
| 0.2686 | 5.0 | 4190 | 0.2523 | 14.324 | 6.4759 | 13.7568 | 13.8855 |
| 0.2631 | 6.0 | 5028 | 0.2522 | 15.5031 | 7.5588 | 14.7522 | 14.9207 |
| 0.2594 | 7.0 | 5866 | 0.2513 | 15.0739 | 7.4589 | 14.2674 | 14.4301 |
| 0.2561 | 8.0 | 6704 | 0.2517 | 14.7495 | 7.2226 | 14.0109 | 14.1583 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Nov 11, 2024
- Updated
- Dec 12, 2024