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README.md
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---
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license: apache-2.0
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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: olm-bert-tiny-december-2022-target-glue-cola
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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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# olm-bert-tiny-december-2022-target-glue-cola
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This model is a fine-tuned version of [muhtasham/olm-bert-tiny-december-2022](https://huggingface.co/muhtasham/olm-bert-tiny-december-2022) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6435
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- Matthews Correlation: 0.1357
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: constant
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- training_steps: 5000
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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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| 0.6114 | 1.87 | 500 | 0.6211 | 0.0 |
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| 0.6043 | 3.73 | 1000 | 0.6161 | 0.0 |
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| 0.5889 | 5.6 | 1500 | 0.6143 | 0.0559 |
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| 0.5732 | 7.46 | 2000 | 0.6110 | 0.1161 |
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| 0.552 | 9.33 | 2500 | 0.6157 | 0.1478 |
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| 0.5393 | 11.19 | 3000 | 0.6218 | 0.1256 |
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| 0.5178 | 13.06 | 3500 | 0.6344 | 0.1475 |
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| 0.5066 | 14.93 | 4000 | 0.6435 | 0.1357 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.1.dev0
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- Tokenizers 0.13.2
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