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: birdi-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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# birdi-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: 0.0378
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- Precision: 0.9449
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- Recall: 0.9521
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- F1: 0.9485
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- Accuracy: 0.9888
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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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| 0.0464 | 1.0 | 7698 | 0.0419 | 0.9352 | 0.9435 | 0.9393 | 0.9875 |
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| 0.0344 | 2.0 | 15396 | 0.0375 | 0.9439 | 0.9509 | 0.9474 | 0.9888 |
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| 0.0256 | 3.0 | 23094 | 0.0378 | 0.9449 | 0.9521 | 0.9485 | 0.9888 |
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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 440227561
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version https://git-lfs.github.com/spec/v1
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size 440227561
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