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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: distilbert-base-uncased-finetuned-ft1500_norm500_aug1 |
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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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# distilbert-base-uncased-finetuned-ft1500_norm500_aug1 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9086 |
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- Mse: 3.6357 |
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- Mae: 1.0762 |
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- R2: 0.2894 |
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- Accuracy: 0.5170 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:| |
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| 1.5856 | 1.0 | 5847 | 3.3101 | 4.1376 | 1.1447 | 0.1913 | 0.4965 | |
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| 0.442 | 2.0 | 11694 | 2.7448 | 3.4311 | 1.0934 | 0.3294 | 0.4523 | |
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| 0.2703 | 3.0 | 17541 | 2.9300 | 3.6625 | 1.0907 | 0.2841 | 0.4933 | |
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| 0.1699 | 4.0 | 23388 | 2.7979 | 3.4973 | 1.0808 | 0.3164 | 0.4805 | |
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| 0.1168 | 5.0 | 29235 | 2.9086 | 3.6357 | 1.0762 | 0.2894 | 0.5170 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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