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mt5-small-finetuned
Ah7med/mt5-small-finetuned
mt5-small-finetuned is a summarization model from Ah7med. 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
- Feb 12, 2025
- Updated
- Feb 13, 2025
- SHA
- 4de5bf4d
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Base models
Datasets
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
This model is a fine-tuned version of google/mt5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7974
- Rouge1: 0.4303
- Rouge2: 0.2038
- Rougel: 0.3736
- Rougelsum: 0.3734
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.1585 | 1.0 | 1842 | 1.9205 | 0.4074 | 0.1838 | 0.3517 | 0.3518 |
| 2.1545 | 2.0 | 3684 | 1.8882 | 0.4120 | 0.1914 | 0.3592 | 0.3588 |
| 2.0888 | 3.0 | 5526 | 1.8290 | 0.4196 | 0.1939 | 0.3603 | 0.3601 |
| 2.0272 | 4.0 | 7368 | 1.8269 | 0.4215 | 0.1975 | 0.3637 | 0.3635 |
| 1.9871 | 5.0 | 9210 | 1.8224 | 0.4231 | 0.1943 | 0.3634 | 0.3633 |
| 1.9535 | 6.0 | 11052 | 1.8055 | 0.4285 | 0.2030 | 0.3715 | 0.3715 |
| 1.9322 | 7.0 | 12894 | 1.7954 | 0.4270 | 0.2018 | 0.3698 | 0.3697 |
| 1.9181 | 8.0 | 14736 | 1.7974 | 0.4303 | 0.2038 | 0.3736 | 0.3734 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 12, 2025
- Updated
- Feb 13, 2025