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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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- f1 |
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base_model: muhtasham/small-mlm-glue-mnli |
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model-index: |
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- name: small-mlm-glue-mnli-target-glue-mrpc |
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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-mnli-target-glue-mrpc |
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This model is a fine-tuned version of [muhtasham/small-mlm-glue-mnli](https://huggingface.co/muhtasham/small-mlm-glue-mnli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9598 |
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- Accuracy: 0.7721 |
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- F1: 0.8432 |
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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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| 0.3946 | 4.35 | 500 | 0.8309 | 0.7647 | 0.8476 | |
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| 0.0715 | 8.7 | 1000 | 1.3662 | 0.7647 | 0.8405 | |
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| 0.0285 | 13.04 | 1500 | 1.6659 | 0.7647 | 0.8405 | |
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| 0.0149 | 17.39 | 2000 | 1.8421 | 0.7696 | 0.8396 | |
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| 0.0158 | 21.74 | 2500 | 1.9587 | 0.7647 | 0.8426 | |
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| 0.0152 | 26.09 | 3000 | 2.0488 | 0.7672 | 0.848 | |
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| 0.0147 | 30.43 | 3500 | 1.9463 | 0.7770 | 0.8535 | |
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| 0.0096 | 34.78 | 4000 | 1.7938 | 0.7819 | 0.8529 | |
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| 0.0124 | 39.13 | 4500 | 1.8361 | 0.7868 | 0.8538 | |
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| 0.0152 | 43.48 | 5000 | 1.9598 | 0.7721 | 0.8432 | |
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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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