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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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model-index: |
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- name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-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-from-scratch-custom-tokenizer-target-glue-qnli |
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This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mnli-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-mnli-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: 0.6517 |
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- Accuracy: 0.6171 |
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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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| 0.6918 | 0.15 | 500 | 0.6854 | 0.5684 | |
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| 0.6778 | 0.31 | 1000 | 0.6610 | 0.6006 | |
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| 0.6692 | 0.46 | 1500 | 0.6550 | 0.6121 | |
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| 0.6613 | 0.61 | 2000 | 0.6553 | 0.6114 | |
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| 0.6597 | 0.76 | 2500 | 0.6529 | 0.6132 | |
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| 0.6582 | 0.92 | 3000 | 0.6488 | 0.6185 | |
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| 0.6484 | 1.07 | 3500 | 0.6517 | 0.6200 | |
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| 0.6461 | 1.22 | 4000 | 0.6484 | 0.6233 | |
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| 0.6422 | 1.37 | 4500 | 0.6493 | 0.6176 | |
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| 0.6456 | 1.53 | 5000 | 0.6517 | 0.6171 | |
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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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