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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-base-uncased-finetuned-resume |
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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-resume |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.7572 |
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- Accuracy: 0.6121 |
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- Precision: 0.5993 |
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- Recall: 0.5837 |
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- F1: 0.5817 |
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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: 3e-05 |
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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: 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 | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.961 | 1.0 | 583 | 0.7683 | 0.6508 | 0.6194 | 0.5758 | 0.5509 | |
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| 0.7218 | 2.0 | 1166 | 0.7392 | 0.6424 | 0.6484 | 0.5936 | 0.5577 | |
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| 0.6682 | 3.0 | 1749 | 0.7518 | 0.6358 | 0.5780 | 0.6620 | 0.6089 | |
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| 0.6262 | 4.0 | 2332 | 0.7457 | 0.6199 | 0.5959 | 0.6417 | 0.5964 | |
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| 0.59 | 5.0 | 2915 | 0.7572 | 0.6121 | 0.5993 | 0.5837 | 0.5817 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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