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--- |
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license: gpl-3.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- matthews_correlation |
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model-index: |
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- name: IceBERT-finetuned-iec-sentence-bs16 |
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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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# IceBERT-finetuned-iec-sentence-bs16 |
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This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2508 |
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- Matthews Correlation: 0.8169 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------------------:| |
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| 0.5278 | 1.0 | 3640 | 0.4777 | 0.5396 | |
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| 0.4648 | 2.0 | 7280 | 0.3886 | 0.6437 | |
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| 0.3807 | 3.0 | 10920 | 0.3478 | 0.7060 | |
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| 0.3061 | 4.0 | 14560 | 0.2523 | 0.8083 | |
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| 0.2477 | 5.0 | 18200 | 0.2508 | 0.8169 | |
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### Framework versions |
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- Transformers 4.12.3 |
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- Pytorch 1.8.0 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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