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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-vanilla-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-vanilla-target-glue-qnli |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3458 |
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- Accuracy: 0.8583 |
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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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| 0.488 | 0.15 | 500 | 0.3901 | 0.8316 | |
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| 0.4449 | 0.31 | 1000 | 0.3826 | 0.8373 | |
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| 0.4243 | 0.46 | 1500 | 0.3596 | 0.8448 | |
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| 0.4133 | 0.61 | 2000 | 0.3663 | 0.8417 | |
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| 0.4102 | 0.76 | 2500 | 0.3459 | 0.8499 | |
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| 0.3924 | 0.92 | 3000 | 0.3286 | 0.8585 | |
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| 0.3539 | 1.07 | 3500 | 0.3467 | 0.8532 | |
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| 0.3202 | 1.22 | 4000 | 0.3478 | 0.8636 | |
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| 0.3183 | 1.37 | 4500 | 0.3574 | 0.8514 | |
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| 0.3215 | 1.53 | 5000 | 0.3458 | 0.8583 | |
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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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