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mt5-small-finetuned-amazon-en-es
sphyuung/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from sphyuung. 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 26, 2024
- Updated
- Dec 11, 2024
- SHA
- a330e709
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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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1419
- Rouge1: 15.5934
- Rouge2: 5.6761
- Rougel: 14.9619
- Rougelsum: 14.9916
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 303 | 4.1931 | 5.7223 | 1.2656 | 5.5538 | 5.5575 |
| No log | 2.0 | 606 | 3.3284 | 10.6092 | 2.2017 | 10.4709 | 10.4227 |
| No log | 3.0 | 909 | 3.2566 | 13.6575 | 4.6938 | 13.3543 | 13.3219 |
| 5.92 | 4.0 | 1212 | 3.1976 | 13.9965 | 4.9638 | 13.4642 | 13.4203 |
| 5.92 | 5.0 | 1515 | 3.1850 | 15.6112 | 5.0982 | 14.8932 | 14.8245 |
| 5.92 | 6.0 | 1818 | 3.1602 | 14.9109 | 5.2255 | 14.4425 | 14.3098 |
| 5.92 | 7.0 | 2121 | 3.1454 | 15.5771 | 5.8869 | 15.006 | 15.002 |
| 3.7023 | 8.0 | 2424 | 3.1419 | 15.5934 | 5.6761 | 14.9619 | 14.9916 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Nov 26, 2024
- Updated
- Dec 11, 2024