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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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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: learn_hf_food_not_food_text_classifier-distilbert-base-uncased |
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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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# learn_hf_food_not_food_text_classifier-distilbert-base-uncased |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.0380 |
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- Accuracy: 0.98 |
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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: 0.0001 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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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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| 0.4647 | 1.0 | 7 | 0.1538 | 0.96 | |
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| 0.0602 | 2.0 | 14 | 0.0083 | 1.0 | |
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| 0.0052 | 3.0 | 21 | 0.0176 | 0.98 | |
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| 0.0018 | 4.0 | 28 | 0.0346 | 0.98 | |
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| 0.001 | 5.0 | 35 | 0.0413 | 0.98 | |
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| 0.0007 | 6.0 | 42 | 0.0417 | 0.98 | |
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| 0.0006 | 7.0 | 49 | 0.0407 | 0.98 | |
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| 0.0006 | 8.0 | 56 | 0.0393 | 0.98 | |
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| 0.0005 | 9.0 | 63 | 0.0384 | 0.98 | |
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| 0.0005 | 10.0 | 70 | 0.0380 | 0.98 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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