End of training
Browse files- README.md +67 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: camembert/camembert-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: camembert-base-finetuned-ner
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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-base-finetuned-ner
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This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0280
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- Precision: 0.9642
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- Recall: 0.9675
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- F1: 0.9658
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- Accuracy: 0.9921
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.0316 | 1.0 | 15205 | 0.0300 | 0.9555 | 0.9609 | 0.9582 | 0.9906 |
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| 0.0214 | 2.0 | 30410 | 0.0276 | 0.9624 | 0.9668 | 0.9646 | 0.9918 |
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| 0.0156 | 3.0 | 45615 | 0.0280 | 0.9642 | 0.9675 | 0.9658 | 0.9921 |
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### Framework versions
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- Transformers 4.33.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 440233705
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version https://git-lfs.github.com/spec/v1
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size 440233705
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