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--- |
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license: mit |
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base_model: camembert-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: camembert_question_answering_tools_fr |
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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_question_answering_tools_fr |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7647 |
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- Learning Rate: 0.0001 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 192 |
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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: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rate | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 7 | 4.1015 | 0.0001 | |
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| No log | 2.0 | 14 | 3.2806 | 0.0001 | |
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| No log | 3.0 | 21 | 2.9722 | 0.0001 | |
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| No log | 4.0 | 28 | 2.8707 | 0.0001 | |
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| No log | 5.0 | 35 | 2.7841 | 0.0001 | |
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| No log | 6.0 | 42 | 2.7172 | 9e-05 | |
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| No log | 7.0 | 49 | 2.6598 | 0.0001 | |
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| No log | 8.0 | 56 | 2.6083 | 0.0001 | |
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| No log | 9.0 | 63 | 2.5637 | 0.0001 | |
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| No log | 10.0 | 70 | 2.5213 | 0.0001 | |
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| No log | 11.0 | 77 | 2.4843 | 0.0001 | |
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| No log | 12.0 | 84 | 2.4661 | 8e-05 | |
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| No log | 13.0 | 91 | 2.4349 | 0.0001 | |
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| No log | 14.0 | 98 | 2.4924 | 0.0001 | |
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| No log | 15.0 | 105 | 2.3981 | 0.0001 | |
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| No log | 16.0 | 112 | 2.5037 | 0.0001 | |
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| No log | 17.0 | 119 | 2.3250 | 0.0001 | |
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| No log | 18.0 | 126 | 2.4910 | 7e-05 | |
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| No log | 19.0 | 133 | 2.3392 | 0.0001 | |
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| No log | 20.0 | 140 | 2.5614 | 0.0001 | |
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| No log | 21.0 | 147 | 2.3671 | 0.0001 | |
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| No log | 22.0 | 154 | 3.1649 | 0.0001 | |
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| No log | 23.0 | 161 | 2.3988 | 0.0001 | |
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| No log | 24.0 | 168 | 2.7332 | 6e-05 | |
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| No log | 25.0 | 175 | 2.8618 | 0.0001 | |
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| No log | 26.0 | 182 | 3.0148 | 0.0001 | |
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| No log | 27.0 | 189 | 2.7647 | 0.0001 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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