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flan_biomedidal
Shijia/flan_biomedidal
flan_biomedidal is a machine learning model from Shijia. 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
- Jan 23, 2024
- Updated
- Jan 23, 2024
- SHA
- 5f0d0925
Base models
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. -->
flan_biomedidal
This model is a fine-tuned version of Shijia/run1 on the sem_eval_2024_task_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3473
- Accuracy: 0.5
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: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 58 | 0.3479 | 0.5 |
| 0.3671 | 2.0 | 116 | 0.3496 | 0.5 |
| 0.3671 | 3.0 | 174 | 0.3486 | 0.5 |
| 0.37 | 4.0 | 232 | 0.3477 | 0.5 |
| 0.37 | 5.0 | 290 | 0.3473 | 0.5 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024