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--- |
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base_model: allenai/scibert_scivocab_uncased |
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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: my_awesome_model |
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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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# my_awesome_model |
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5640 |
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- Accuracy: 0.7795 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 1.184 | 0.0770 | 100 | 0.9294 | 0.6612 | |
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| 0.8519 | 0.1540 | 200 | 0.8007 | 0.7087 | |
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| 0.7555 | 0.2309 | 300 | 0.7204 | 0.7245 | |
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| 0.7065 | 0.3079 | 400 | 0.7121 | 0.7324 | |
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| 0.6499 | 0.3849 | 500 | 0.6654 | 0.7567 | |
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| 0.6504 | 0.4619 | 600 | 0.6227 | 0.7659 | |
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| 0.6421 | 0.5389 | 700 | 0.6104 | 0.7695 | |
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| 0.6298 | 0.6159 | 800 | 0.6094 | 0.7652 | |
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| 0.5851 | 0.6928 | 900 | 0.5852 | 0.7795 | |
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| 0.5903 | 0.7698 | 1000 | 0.5759 | 0.7828 | |
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| 0.5682 | 0.8468 | 1100 | 0.5769 | 0.7758 | |
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| 0.5809 | 0.9238 | 1200 | 0.5640 | 0.7795 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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