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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: camembert-ner-lr10e6
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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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# camembert-ner-lr10e6
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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: 0.4541
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- Overall Precision: 0.3799
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- Overall Recall: 0.4559
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- Overall F1: 0.4144
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- Overall Accuracy: 0.9163
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- Humanprod F1: 0.0
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- Loc F1: 0.3266
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- Org F1: 0.0323
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- Per F1: 0.5821
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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-06
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Humanprod F1 | Loc F1 | Org F1 | Per F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------------:|:------:|:------:|:------:|
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| 0.9048 | 1.0 | 613 | 0.4945 | 0.3748 | 0.4036 | 0.3887 | 0.9151 | 0.0 | 0.3447 | 0.0318 | 0.5020 |
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| 0.5001 | 2.0 | 1226 | 0.4541 | 0.3799 | 0.4559 | 0.4144 | 0.9163 | 0.0 | 0.3266 | 0.0323 | 0.5821 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.7.1+cpu
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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