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README.md
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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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