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medical_diagnostic_summarizer
fahmiaziz/medical_diagnostic_summarizer
medical_diagnostic_summarizer is a machine learning model from fahmiaziz. 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
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- 624508a9
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. -->
medical_diagnostic_summarizer
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8670
- Rouge1: 0.4177
- Rouge2: 0.2184
- Rougel: 0.3563
- Rougelsum: 0.3564
- Gen Len: 17.6943
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: 0.001
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1658 | 1.0 | 2500 | 1.9703 | 0.411 | 0.2134 | 0.3502 | 0.3502 | 17.6057 |
| 1.9441 | 2.0 | 5000 | 1.8830 | 0.4155 | 0.2172 | 0.355 | 0.3551 | 17.6832 |
| 1.7621 | 3.0 | 7500 | 1.8670 | 0.4177 | 0.2184 | 0.3563 | 0.3564 | 17.6943 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023