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--- |
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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: tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-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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# tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-cola |
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This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8016 |
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- Matthews Correlation: 0.0716 |
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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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| 0.6104 | 1.87 | 500 | 0.6207 | 0.0 | |
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| 0.6069 | 3.73 | 1000 | 0.6185 | 0.0 | |
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| 0.5994 | 5.6 | 1500 | 0.6141 | -0.0207 | |
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| 0.5555 | 7.46 | 2000 | 0.6537 | 0.0485 | |
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| 0.5134 | 9.33 | 2500 | 0.6886 | 0.0900 | |
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| 0.4922 | 11.19 | 3000 | 0.6950 | 0.0998 | |
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| 0.4643 | 13.06 | 3500 | 0.7414 | 0.1108 | |
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| 0.4497 | 14.93 | 4000 | 0.7671 | 0.0889 | |
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| 0.4315 | 16.79 | 4500 | 0.7826 | 0.0760 | |
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| 0.421 | 18.66 | 5000 | 0.8016 | 0.0716 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.1.dev0 |
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- Tokenizers 0.13.2 |
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