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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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datasets: |
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- scicite |
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metrics: |
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- accuracy |
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model-index: |
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- name: Scicite_classification_model |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: scicite |
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type: scicite |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9224890829694323 |
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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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# Scicite_classification_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 scicite dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4704 |
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- Accuracy: 0.9225 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 8 |
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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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| 0.2493 | 1.0 | 513 | 0.2034 | 0.9214 | |
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| 0.1777 | 2.0 | 1026 | 0.1942 | 0.9247 | |
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| 0.1385 | 3.0 | 1539 | 0.2552 | 0.9247 | |
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| 0.1019 | 4.0 | 2052 | 0.2995 | 0.9258 | |
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| 0.0705 | 5.0 | 2565 | 0.3964 | 0.9181 | |
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| 0.0444 | 6.0 | 3078 | 0.4243 | 0.9203 | |
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| 0.0331 | 7.0 | 3591 | 0.4904 | 0.9192 | |
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| 0.0223 | 8.0 | 4104 | 0.4704 | 0.9225 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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