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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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- accuracy
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model-index:
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- name: tiny-mlm-glue-mnli-target-glue-qnli
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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-mnli-target-glue-qnli
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This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mnli](https://huggingface.co/muhtasham/tiny-mlm-glue-mnli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4695
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- Accuracy: 0.7814
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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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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6034 | 0.15 | 500 | 0.5431 | 0.7335 |
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| 0.5403 | 0.31 | 1000 | 0.5253 | 0.7459 |
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| 0.5174 | 0.46 | 1500 | 0.4953 | 0.7659 |
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| 0.5137 | 0.61 | 2000 | 0.5259 | 0.7483 |
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| 0.511 | 0.76 | 2500 | 0.4814 | 0.7750 |
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| 0.5032 | 0.92 | 3000 | 0.4670 | 0.7847 |
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| 0.4901 | 1.07 | 3500 | 0.4525 | 0.7904 |
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| 0.4798 | 1.22 | 4000 | 0.4679 | 0.7836 |
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| 0.4667 | 1.37 | 4500 | 0.4752 | 0.7798 |
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| 0.4736 | 1.53 | 5000 | 0.4695 | 0.7814 |
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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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