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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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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: bert-finetuned-Age |
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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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# bert-finetuned-Age |
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This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4642 |
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- F1: 0.7254 |
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- Roc Auc: 0.7940 |
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- Accuracy: 0.7249 |
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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: 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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.4564 | 1.0 | 965 | 0.4642 | 0.7254 | 0.7940 | 0.7254 | |
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| 0.4443 | 2.0 | 1930 | 0.4662 | 0.7254 | 0.7940 | 0.7254 | |
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| 0.4388 | 3.0 | 2895 | 0.4628 | 0.7254 | 0.7940 | 0.7254 | |
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| 0.4486 | 4.0 | 3860 | 0.4642 | 0.7254 | 0.7940 | 0.7249 | |
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| 0.4287 | 5.0 | 4825 | 0.4958 | 0.7214 | 0.7907 | 0.7150 | |
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| 0.4055 | 6.0 | 5790 | 0.5325 | 0.6961 | 0.7715 | 0.6782 | |
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| 0.3514 | 7.0 | 6755 | 0.5588 | 0.6586 | 0.7443 | 0.6223 | |
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| 0.3227 | 8.0 | 7720 | 0.5944 | 0.6625 | 0.7470 | 0.6295 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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