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mt5-small-finetuned-mr-sum
october-sd/mt5-small-finetuned-mr-sum
mt5-small-finetuned-mr-sum is a summarization model from october-sd. 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
- Mar 1, 2024
- Updated
- Mar 2, 2024
- SHA
- 20afbb26
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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-mr-sum
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: 1.9029
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1339 | 1.0 | 1803 | 2.2075 |
| 3.1992 | 2.0 | 3606 | 2.0707 |
| 3.0189 | 3.0 | 5409 | 2.0077 |
| 2.9222 | 4.0 | 7212 | 1.9655 |
| 2.8524 | 5.0 | 9015 | 1.9323 |
| 2.81 | 6.0 | 10818 | 1.9261 |
| 2.7811 | 7.0 | 12621 | 1.9078 |
| 2.7658 | 8.0 | 14424 | 1.9029 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 1, 2024
- Updated
- Mar 2, 2024