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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: berties-pretrained |
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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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# berties-pretrained |
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This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3922 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.7047 | 0.21 | 500 | 5.0371 | |
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| 4.4116 | 0.43 | 1000 | 4.5143 | |
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| 4.0711 | 0.64 | 1500 | 4.3272 | |
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| 3.8657 | 0.86 | 2000 | 4.1704 | |
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| 3.6971 | 1.07 | 2500 | 3.9951 | |
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| 3.5093 | 1.29 | 3000 | 3.7682 | |
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| 3.3598 | 1.5 | 3500 | 3.6554 | |
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| 3.2389 | 1.72 | 4000 | 3.6167 | |
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| 3.1984 | 1.93 | 4500 | 3.4445 | |
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| 3.1063 | 2.15 | 5000 | 3.4206 | |
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| 3.0063 | 2.36 | 5500 | 3.4164 | |
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| 3.0069 | 2.57 | 6000 | 3.4115 | |
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| 2.9954 | 2.79 | 6500 | 3.3463 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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