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my_t5_model
Chung-Fan/my_t5_model
my_t5_model is a machine learning model from Chung-Fan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 26, 2023
- Updated
- Jun 26, 2023
- SHA
- 6af89cd0
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. -->
my_t5_model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.3682
- Rouge1: 0.1961
- Rouge2: 0.098
- Rougel: 0.1677
- Rougelsum: 0.1674
- Gen Len: 19.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.4332 | 0.163 | 0.0667 | 0.1342 | 0.134 | 19.0 |
| No log | 2.0 | 124 | 2.3924 | 0.1871 | 0.0892 | 0.1583 | 0.1582 | 19.0 |
| No log | 3.0 | 186 | 2.3736 | 0.194 | 0.0959 | 0.1658 | 0.1656 | 19.0 |
| No log | 4.0 | 248 | 2.3682 | 0.1961 | 0.098 | 0.1677 | 0.1674 | 19.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 26, 2023
- Updated
- Jun 26, 2023