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--- |
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license: mit |
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base_model: facebook/w2v-bert-2.0 |
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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: results |
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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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# results |
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6006 |
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- Accuracy: 0.5153 |
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- F1 Score Class 0: 0.0 |
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- F1 Score Class 1: 0.0 |
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- F1 Score Class 2: 0.0 |
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- F1 Score Class 3: 0.0 |
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- F1 Score Class 4: 0.0 |
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- F1 Score Class 5: 0.0 |
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- F1 Score Class 6: 0.0 |
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- F1 Score Class 7: 0.6801 |
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- F1 Score Class 8: 0.0 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 | F1 Score Class 4 | F1 Score Class 5 | F1 Score Class 6 | F1 Score Class 7 | F1 Score Class 8 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:| |
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| 1.506 | 1.0 | 533 | 1.6378 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.4754 | 2.0 | 1066 | 1.6081 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.5661 | 3.0 | 1599 | 1.6086 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.5656 | 4.0 | 2132 | 1.6012 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.6768 | 5.0 | 2665 | 1.6281 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.6289 | 6.0 | 3198 | 1.6011 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.4727 | 7.0 | 3731 | 1.6015 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.5386 | 8.0 | 4264 | 1.6054 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.5436 | 9.0 | 4797 | 1.6020 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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| 1.4974 | 10.0 | 5330 | 1.6006 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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