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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v2 |
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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-english-cefr-lexical-evaluation-bs-v2 |
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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: 1.6208 |
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- Accuracy: 0.5876 |
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- F1: 0.5859 |
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- Precision: 0.5892 |
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- Recall: 0.5876 |
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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: 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.3819 | 1.0 | 173 | 1.3925 | 0.4859 | 0.4780 | 0.4752 | 0.4859 | |
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| 1.0132 | 2.0 | 346 | 1.3560 | 0.5011 | 0.5008 | 0.5815 | 0.5011 | |
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| 0.4879 | 3.0 | 519 | 1.4646 | 0.5510 | 0.5532 | 0.5612 | 0.5510 | |
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| 0.1783 | 4.0 | 692 | 1.7720 | 0.5713 | 0.5705 | 0.5724 | 0.5713 | |
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| 0.0539 | 5.0 | 865 | 1.9786 | 0.5634 | 0.5650 | 0.5701 | 0.5634 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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