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--- |
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license: apache-2.0 |
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base_model: 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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: distilbert-training-3 |
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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-training-3 |
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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: 0.0197 |
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- Accuracy: 0.9956 |
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- Precision: 1.0 |
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- Recall: 0.9910 |
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- F1: 0.9955 |
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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: 8 |
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- eval_batch_size: 8 |
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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 | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| No log | 0.5 | 131 | 0.1115 | 0.97 | 0.9976 | 0.9413 | 0.9686 | |
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| No log | 1.0 | 262 | 0.0659 | 0.9844 | 1.0 | 0.9684 | 0.9839 | |
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| 0.1414 | 1.49 | 393 | 0.0632 | 0.9878 | 1.0 | 0.9752 | 0.9874 | |
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| 0.1414 | 1.99 | 524 | 0.0795 | 0.9822 | 1.0 | 0.9639 | 0.9816 | |
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| 0.0512 | 2.49 | 655 | 0.0542 | 0.9878 | 1.0 | 0.9752 | 0.9874 | |
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| 0.0512 | 2.99 | 786 | 0.0199 | 0.9944 | 1.0 | 0.9887 | 0.9943 | |
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| 0.0246 | 3.49 | 917 | 0.0202 | 0.9944 | 1.0 | 0.9887 | 0.9943 | |
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| 0.0246 | 3.98 | 1048 | 0.0197 | 0.9956 | 1.0 | 0.9910 | 0.9955 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.2.0.dev20230913+cu121 |
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- Tokenizers 0.13.3 |
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