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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: small-mlm-glue-mrpc-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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# small-mlm-glue-mrpc-target-glue-qnli
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This model is a fine-tuned version of [muhtasham/small-mlm-glue-mrpc](https://huggingface.co/muhtasham/small-mlm-glue-mrpc) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3483
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- Accuracy: 0.8607
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4922 | 0.15 | 500 | 0.3954 | 0.8243 |
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| 0.4468 | 0.31 | 1000 | 0.3839 | 0.8343 |
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| 0.4228 | 0.46 | 1500 | 0.3578 | 0.8481 |
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| 0.4132 | 0.61 | 2000 | 0.3697 | 0.8407 |
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| 0.4094 | 0.76 | 2500 | 0.3400 | 0.8558 |
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| 0.3946 | 0.92 | 3000 | 0.3316 | 0.8583 |
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| 0.3523 | 1.07 | 3500 | 0.3481 | 0.8536 |
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| 0.3151 | 1.22 | 4000 | 0.3473 | 0.8594 |
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| 0.3139 | 1.37 | 4500 | 0.3502 | 0.8567 |
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| 0.3203 | 1.53 | 5000 | 0.3483 | 0.8607 |
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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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