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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: impact-cat |
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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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# impact-cat |
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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: 0.5393 |
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- Accuracy: 0.7781 |
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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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| No log | 1.0 | 160 | 0.4152 | 0.8406 | |
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| No log | 2.0 | 320 | 0.4462 | 0.8375 | |
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| No log | 3.0 | 480 | 0.4197 | 0.8203 | |
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| 0.511 | 4.0 | 640 | 0.4687 | 0.8453 | |
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| 0.511 | 5.0 | 800 | 0.4595 | 0.8328 | |
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| 0.511 | 6.0 | 960 | 0.4773 | 0.8047 | |
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| 0.2607 | 7.0 | 1120 | 0.5149 | 0.7953 | |
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| 0.2607 | 8.0 | 1280 | 0.5393 | 0.7781 | |
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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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