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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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- f1
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model-index:
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- name: tiny-mlm-glue-qnli-target-glue-mrpc
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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-target-glue-mrpc
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This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3118
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- Accuracy: 0.7353
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- F1: 0.8176
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.5845 | 4.35 | 500 | 0.5424 | 0.7402 | 0.8290 |
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| 0.4395 | 8.7 | 1000 | 0.5503 | 0.7525 | 0.8374 |
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| 0.2883 | 13.04 | 1500 | 0.6404 | 0.7475 | 0.8280 |
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| 0.1828 | 17.39 | 2000 | 0.7736 | 0.7574 | 0.8406 |
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| 0.1141 | 21.74 | 2500 | 1.0144 | 0.7255 | 0.8056 |
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| 0.0816 | 26.09 | 3000 | 1.1432 | 0.7328 | 0.8180 |
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| 0.0616 | 30.43 | 3500 | 1.3118 | 0.7353 | 0.8176 |
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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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