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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-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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# small-mlm-glue-mrpc-custom-tokenizer-target-glue-qnli |
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This model is a fine-tuned version of [muhtasham/small-mlm-glue-mrpc-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-glue-mrpc-custom-tokenizer) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4493 |
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- Accuracy: 0.7986 |
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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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| 0.5672 | 0.15 | 500 | 0.4950 | 0.7650 | |
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| 0.532 | 0.31 | 1000 | 0.4894 | 0.7710 | |
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| 0.5191 | 0.46 | 1500 | 0.5007 | 0.7681 | |
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| 0.5102 | 0.61 | 2000 | 0.4682 | 0.7873 | |
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| 0.5033 | 0.76 | 2500 | 0.4596 | 0.7897 | |
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| 0.4975 | 0.92 | 3000 | 0.4537 | 0.7908 | |
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| 0.4751 | 1.07 | 3500 | 0.4637 | 0.7900 | |
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| 0.4547 | 1.22 | 4000 | 0.5252 | 0.7717 | |
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| 0.45 | 1.37 | 4500 | 0.4494 | 0.8003 | |
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| 0.454 | 1.53 | 5000 | 0.4493 | 0.7986 | |
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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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