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medication-single-t5
austin/medication-single-t5
medication-single-t5 is a machine learning model from austin. 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
- Dec 4, 2023
- Updated
- Dec 4, 2023
- SHA
- 7d218d57
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. -->
medication-single-t5
This model is a fine-tuned version of google/t5-efficient-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0134
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: 0.004
- 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5257 | 0.08 | 100 | 0.2084 |
| 0.1412 | 0.16 | 200 | 0.0880 |
| 0.0902 | 0.23 | 300 | 0.0543 |
| 0.0791 | 0.31 | 400 | 0.0456 |
| 0.072 | 0.39 | 500 | 0.0392 |
| 0.0567 | 0.47 | 600 | 0.0349 |
| 0.0507 | 0.55 | 700 | 0.0312 |
| 0.0493 | 0.63 | 800 | 0.0285 |
| 0.041 | 0.7 | 900 | 0.0246 |
| 0.0423 | 0.78 | 1000 | 0.0255 |
| 0.0382 | 0.86 | 1100 | 0.0247 |
| 0.0375 | 0.94 | 1200 | 0.0217 |
| 0.0298 | 1.02 | 1300 | 0.0211 |
| 0.0327 | 1.09 | 1400 | 0.0198 |
| 0.0272 | 1.17 | 1500 | 0.0195 |
| 0.0301 | 1.25 | 1600 | 0.0183 |
| 0.0259 | 1.33 | 1700 | 0.0179 |
| 0.0273 | 1.41 | 1800 | 0.0164 |
| 0.0244 | 1.49 | 1900 | 0.0163 |
| 0.0222 | 1.56 | 2000 | 0.0161 |
| 0.0214 | 1.64 | 2100 | 0.0158 |
| 0.0199 | 1.72 | 2200 | 0.0146 |
| 0.0202 | 1.8 | 2300 | 0.0141 |
| 0.0214 | 1.88 | 2400 | 0.0135 |
| 0.018 | 1.95 | 2500 | 0.0134 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 4, 2023