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mt5-small-finetuned-14feb-5
mqy/mt5-small-finetuned-14feb-5
mt5-small-finetuned-14feb-5 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
- Feb 14, 2023
- Updated
- Feb 14, 2023
- SHA
- c231232c
Try a prompt
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-14feb-5
This model is a fine-tuned version of mqy/mt5-small-finetuned-14feb-5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4655
- Rouge1: 19.52
- Rouge2: 6.07
- Rougel: 19.19
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: 0.0003
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| 1.9445 | 1.0 | 388 | 2.4204 | 20.35 | 6.19 | 19.87 |
| 1.8471 | 2.0 | 776 | 2.4395 | 20.04 | 5.96 | 19.77 |
| 1.7694 | 3.0 | 1164 | 2.4479 | 20.19 | 5.81 | 19.72 |
| 1.6877 | 4.0 | 1552 | 2.4451 | 20.14 | 6.16 | 19.72 |
| 1.6436 | 5.0 | 1940 | 2.4655 | 19.52 | 6.07 | 19.19 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023