Instructions to use Metformin/T5model_medFineTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Metformin/T5model_medFineTune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Metformin/T5model_medFineTune") model = AutoModelForSeq2SeqLM.from_pretrained("Metformin/T5model_medFineTune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 13
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 6.
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- Validation Loss: 4.
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- Epoch:
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## Model description
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| 8.4565 | 5.5615 | 10 |
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### Framework versions
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 6.4067
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- Validation Loss: 4.1682
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- Epoch: 13
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## Model description
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| 8.4565 | 5.5615 | 10 |
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| 7.6170 | 5.0299 | 11 |
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| 6.9498 | 4.5760 | 12 |
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| 6.4067 | 4.1682 | 13 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1201092160
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