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mt5-small-finetuned-18jan-7
mqy/mt5-small-finetuned-18jan-7
mt5-small-finetuned-18jan-7 is a summarization model from mqy. 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
- Jan 18, 2023
- Updated
- Jan 18, 2023
- SHA
- 3fae96eb
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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-18jan-7
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: 2.6070
- Rouge1: 5.7833
- Rouge2: 0.3333
- Rougel: 5.7554
- Rougelsum: 5.8833
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: 0.0002
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.6303 | 1.0 | 60 | 3.0842 | 6.2007 | 1.2374 | 6.1911 | 6.219 |
| 3.8899 | 2.0 | 120 | 2.7540 | 7.7897 | 1.0 | 7.8183 | 7.8972 |
| 3.4335 | 3.0 | 180 | 2.7391 | 8.3905 | 0.5333 | 8.4007 | 8.4989 |
| 3.2524 | 4.0 | 240 | 2.6775 | 8.512 | 0.4167 | 8.5954 | 8.581 |
| 3.0853 | 5.0 | 300 | 2.6776 | 7.6801 | 0.1667 | 7.7563 | 7.7873 |
| 2.974 | 6.0 | 360 | 2.6641 | 8.2083 | 0.1667 | 8.3958 | 8.3792 |
| 2.9018 | 7.0 | 420 | 2.6233 | 7.0679 | 0.3333 | 7.15 | 7.1833 |
| 2.859 | 8.0 | 480 | 2.6238 | 6.5423 | 0.4167 | 6.5542 | 6.7 |
| 2.8123 | 9.0 | 540 | 2.5961 | 6.3388 | 0.3333 | 6.2435 | 6.3902 |
| 2.7843 | 10.0 | 600 | 2.6070 | 5.7833 | 0.3333 | 5.7554 | 5.8833 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023