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--- |
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license: mit |
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base_model: microsoft/biogpt |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: MLMA-Lab8-FinetunedBioGPT |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# MLMA-Lab8-FinetunedBioGPT |
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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1519 |
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- Precision: 0.4616 |
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- Recall: 0.5578 |
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- F1: 0.5052 |
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- Accuracy: 0.9580 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.3151 | 1.0 | 679 | 0.1658 | 0.3299 | 0.4066 | 0.3643 | 0.9487 | |
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| 0.1695 | 2.0 | 1358 | 0.1571 | 0.4186 | 0.5095 | 0.4596 | 0.9542 | |
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| 0.0994 | 3.0 | 2037 | 0.1519 | 0.4616 | 0.5578 | 0.5052 | 0.9580 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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