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README.md
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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
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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
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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: 0.4438
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- Matthews Correlation: 0.6062
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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: 128
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- eval_batch_size: 128
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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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| No log | 1.0 | 455 | 0.5283 | 0.4755 |
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| 0.5696 | 2.0 | 910 | 0.4889 | 0.5272 |
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| 0.4898 | 3.0 | 1365 | 0.4508 | 0.5793 |
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| 0.4508 | 4.0 | 1820 | 0.4340 | 0.6042 |
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| 0.4153 | 5.0 | 2275 | 0.4438 | 0.6062 |
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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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