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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-qnli-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-qnli-from-scratch-custom-tokenizer-target-glue-qqp
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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: 0.5253
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- Accuracy: 0.7422
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- F1: 0.6175
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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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| 0.6417 | 0.04 | 500 | 0.6186 | 0.6422 | 0.3915 |
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| 0.6074 | 0.09 | 1000 | 0.5913 | 0.6758 | 0.5148 |
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| 0.5863 | 0.13 | 1500 | 0.5734 | 0.6951 | 0.5694 |
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| 0.5727 | 0.18 | 2000 | 0.5628 | 0.7098 | 0.5369 |
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| 0.5576 | 0.22 | 2500 | 0.5505 | 0.7215 | 0.5756 |
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| 0.5502 | 0.26 | 3000 | 0.5428 | 0.7282 | 0.5839 |
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| 0.545 | 0.31 | 3500 | 0.5368 | 0.7340 | 0.5996 |
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| 0.5368 | 0.35 | 4000 | 0.5328 | 0.7342 | 0.6250 |
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| 0.5385 | 0.4 | 4500 | 0.5300 | 0.7359 | 0.6323 |
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| 0.5316 | 0.44 | 5000 | 0.5253 | 0.7422 | 0.6175 |
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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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