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--- |
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license: cc-by-nc-sa-4.0 |
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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: jobBERT-de_tc_professions_debates |
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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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# jobBERT-de_tc_professions_debates |
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This model is a fine-tuned version of [agne/jobBERT-de](https://huggingface.co/agne/jobBERT-de) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0581 |
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- Precision: 0.9648 |
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- Recall: 0.9481 |
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- F1: 0.9564 |
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- Accuracy: 0.9924 |
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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: 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: 5 |
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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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| No log | 1.0 | 31 | 0.0394 | 0.9430 | 0.9538 | 0.9484 | 0.9909 | |
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| No log | 2.0 | 62 | 0.0462 | 0.9222 | 0.9577 | 0.9396 | 0.9897 | |
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| No log | 3.0 | 93 | 0.0556 | 0.9556 | 0.9519 | 0.9538 | 0.9919 | |
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| No log | 4.0 | 124 | 0.0604 | 0.9647 | 0.9462 | 0.9553 | 0.9924 | |
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| No log | 5.0 | 155 | 0.0581 | 0.9648 | 0.9481 | 0.9564 | 0.9924 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.13.3 |
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