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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_norm300 |
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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_norm300 |
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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: 1.0940 |
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- Mse: 4.3760 |
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- Mae: 1.4084 |
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- R2: 0.4625 |
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- Accuracy: 0.3517 |
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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: 4 |
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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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| 0.7424 | 1.0 | 3122 | 1.1071 | 4.4286 | 1.4098 | 0.4561 | 0.3338 | |
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| 0.5038 | 2.0 | 6244 | 1.1794 | 4.7177 | 1.4140 | 0.4205 | 0.3677 | |
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| 0.356 | 3.0 | 9366 | 1.0717 | 4.2866 | 1.3852 | 0.4735 | 0.3581 | |
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| 0.2293 | 4.0 | 12488 | 1.0940 | 4.3760 | 1.4084 | 0.4625 | 0.3517 | |
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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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