update model card README.md

README.md

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+---
+license: gpl-3.0
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+model-index:
+- name: IceBERT-finetuned-iec-sentence-bs16
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# IceBERT-finetuned-iec-sentence-bs16
+
+This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2508
+- Matthews Correlation: 0.8169
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
+| 0.5278        | 1.0   | 3640  | 0.4777          | 0.5396               |
+| 0.4648        | 2.0   | 7280  | 0.3886          | 0.6437               |
+| 0.3807        | 3.0   | 10920 | 0.3478          | 0.7060               |
+| 0.3061        | 4.0   | 14560 | 0.2523          | 0.8083               |
+| 0.2477        | 5.0   | 18200 | 0.2508          | 0.8169               |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.8.0
+- Datasets 1.15.1
+- Tokenizers 0.10.3