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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: new_camembert_jb |
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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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# new_camembert_jb |
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This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0752 |
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- Overall Precision: 0.8202 |
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- Overall Recall: 0.8595 |
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- Overall F1: 0.8394 |
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- Overall Accuracy: 0.9814 |
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- Er F1: 0.8430 |
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- Oc F1: 0.8418 |
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- Umanprod F1: 0.6933 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Er F1 | Oc F1 | Umanprod F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------:|:------:|:-----------:| |
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| 0.2682 | 1.0 | 613 | 0.0813 | 0.7550 | 0.8071 | 0.7802 | 0.9749 | 0.7920 | 0.7709 | 0.6667 | |
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| 0.0717 | 2.0 | 1226 | 0.0706 | 0.8139 | 0.8411 | 0.8273 | 0.9808 | 0.8446 | 0.8126 | 0.6857 | |
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| 0.0524 | 3.0 | 1839 | 0.0723 | 0.8215 | 0.8567 | 0.8387 | 0.9812 | 0.8462 | 0.8346 | 0.7368 | |
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| 0.0372 | 4.0 | 2452 | 0.0752 | 0.8202 | 0.8595 | 0.8394 | 0.9814 | 0.8430 | 0.8418 | 0.6933 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cpu |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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