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--- |
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noteId: "dcddc7a0091511ef947f01a7904e0672" |
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tags: |
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- "generated_from_trainer" |
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license: "apache-2.0" |
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metrics: |
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- "f1" |
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model-index: |
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- name: "distilbert_alcohol_classifier" |
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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_alcohol_classifier |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0028 |
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- F1: 0.9985 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.0035 | 1.0 | 760 | 0.0132 | 0.9964 | |
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| 0.0071 | 2.0 | 1520 | 0.0050 | 0.9985 | |
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| 0.0025 | 3.0 | 2280 | 0.0051 | 0.9985 | |
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| 0.0001 | 4.0 | 3040 | 0.0028 | 0.9985 | |
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| 0.0009 | 5.0 | 3800 | 0.0028 | 0.9985 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.19.0 |
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- Tokenizers 0.13.3 |
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