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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: nystromformer-4096-medqa-usmle-MiniLM-IR-cs |
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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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# nystromformer-4096-medqa-usmle-MiniLM-IR-cs |
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This model is a fine-tuned version of [GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs](https://huggingface.co/GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8436 |
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- Accuracy: 0.2812 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| No log | 0.99 | 79 | 0.2372 | 1.3863 | |
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| No log | 1.99 | 158 | 0.2655 | 1.3861 | |
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| No log | 2.99 | 237 | 0.2545 | 1.3859 | |
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| No log | 3.99 | 316 | 0.2765 | 1.3837 | |
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| No log | 4.99 | 395 | 0.2820 | 1.3876 | |
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| No log | 5.99 | 474 | 1.3819 | 0.2639 | |
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| 1.3342 | 6.99 | 553 | 1.4875 | 0.2694 | |
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| 1.3342 | 7.99 | 632 | 1.6126 | 0.2718 | |
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| 1.3342 | 8.99 | 711 | 1.7637 | 0.2804 | |
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| 1.3342 | 9.99 | 790 | 1.8436 | 0.2812 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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