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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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- accuracy
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- f1
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model-index:
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- name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-qqp
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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-mrpc-from-scratch-custom-tokenizer-target-glue-qqp
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This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-mrpc-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: 0.5311
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- Accuracy: 0.7402
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- F1: 0.5973
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.6429 | 0.04 | 500 | 0.6232 | 0.6395 | 0.3481 |
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| 0.6149 | 0.09 | 1000 | 0.6025 | 0.6619 | 0.4427 |
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| 0.5929 | 0.13 | 1500 | 0.5800 | 0.6870 | 0.5779 |
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| 0.5688 | 0.18 | 2000 | 0.5620 | 0.7075 | 0.5454 |
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| 0.5597 | 0.22 | 2500 | 0.5503 | 0.7218 | 0.5681 |
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| 0.5477 | 0.26 | 3000 | 0.5432 | 0.7283 | 0.5902 |
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| 0.5467 | 0.31 | 3500 | 0.5388 | 0.7322 | 0.5946 |
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| 0.541 | 0.35 | 4000 | 0.5357 | 0.7350 | 0.6098 |
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| 0.543 | 0.4 | 4500 | 0.5331 | 0.7348 | 0.6141 |
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| 0.5377 | 0.44 | 5000 | 0.5311 | 0.7402 | 0.5973 |
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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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