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antifungal-linguist
yaochung/antifungal-linguist
antifungal-linguist is a machine learning model from yaochung. 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
- Nov 12, 2023
- Updated
- Nov 12, 2023
- SHA
- 8695a3d0
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. -->
results
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 0.6058
- Rouge2: 0.5996
- Rougel: 0.6054
- Rougelsum: 0.6061
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: 4
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0023 | 1.0 | 1667 | 0.0000 | 0.6058 | 0.5996 | 0.6054 | 0.6061 |
| 0.0001 | 2.0 | 3334 | 0.0000 | 0.6058 | 0.5996 | 0.6054 | 0.6061 |
| 0.0 | 3.0 | 5001 | 0.0000 | 0.6058 | 0.5996 | 0.6054 | 0.6061 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 12, 2023
- Updated
- Nov 12, 2023