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--- |
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license: mit |
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base_model: flaubert/flaubert_base_cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: question_classification |
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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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# question_classification |
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This model is a fine-tuned version of [flaubert/flaubert_base_cased](https://huggingface.co/flaubert/flaubert_base_cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0442 |
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- Accuracy: 0.9054 |
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- F1: 0.9045 |
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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: 4 |
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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: 35 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 204 | 1.2496 | 0.6132 | 0.6098 | |
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| No log | 2.0 | 408 | 0.7790 | 0.7249 | 0.7231 | |
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| 1.2508 | 3.0 | 612 | 0.6412 | 0.8023 | 0.8038 | |
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| 1.2508 | 4.0 | 816 | 0.5420 | 0.8682 | 0.8681 | |
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| 0.318 | 5.0 | 1020 | 0.7027 | 0.8453 | 0.8428 | |
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| 0.318 | 6.0 | 1224 | 0.6174 | 0.8625 | 0.8629 | |
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| 0.318 | 7.0 | 1428 | 0.6363 | 0.8768 | 0.8772 | |
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| 0.121 | 8.0 | 1632 | 0.7726 | 0.8682 | 0.8695 | |
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| 0.121 | 9.0 | 1836 | 1.0105 | 0.8739 | 0.8734 | |
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| 0.043 | 10.0 | 2040 | 0.9210 | 0.8854 | 0.8855 | |
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| 0.043 | 11.0 | 2244 | 0.9544 | 0.8825 | 0.8794 | |
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| 0.043 | 12.0 | 2448 | 0.8467 | 0.8825 | 0.8825 | |
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| 0.0287 | 13.0 | 2652 | 0.8958 | 0.8968 | 0.8963 | |
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| 0.0287 | 14.0 | 2856 | 1.0431 | 0.8854 | 0.8844 | |
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| 0.0244 | 15.0 | 3060 | 1.0537 | 0.8854 | 0.8844 | |
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| 0.0244 | 16.0 | 3264 | 0.8005 | 0.9054 | 0.9052 | |
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| 0.0244 | 17.0 | 3468 | 0.9819 | 0.8883 | 0.8893 | |
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| 0.02 | 18.0 | 3672 | 1.0702 | 0.8940 | 0.8928 | |
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| 0.02 | 19.0 | 3876 | 0.9675 | 0.8968 | 0.8957 | |
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| 0.0067 | 20.0 | 4080 | 0.9127 | 0.8968 | 0.8965 | |
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| 0.0067 | 21.0 | 4284 | 0.9818 | 0.9083 | 0.9075 | |
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| 0.0067 | 22.0 | 4488 | 0.9895 | 0.8940 | 0.8934 | |
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| 0.0074 | 23.0 | 4692 | 0.8589 | 0.9054 | 0.9054 | |
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| 0.0074 | 24.0 | 4896 | 1.0275 | 0.8997 | 0.8992 | |
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| 0.0139 | 25.0 | 5100 | 0.9546 | 0.9026 | 0.9021 | |
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| 0.0139 | 26.0 | 5304 | 0.9809 | 0.9083 | 0.9077 | |
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| 0.0074 | 27.0 | 5508 | 0.9914 | 0.9026 | 0.9020 | |
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| 0.0074 | 28.0 | 5712 | 0.9072 | 0.9054 | 0.9052 | |
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| 0.0074 | 29.0 | 5916 | 0.8984 | 0.9083 | 0.9081 | |
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| 0.0081 | 30.0 | 6120 | 0.9815 | 0.9083 | 0.9074 | |
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| 0.0081 | 31.0 | 6324 | 0.9143 | 0.8968 | 0.8969 | |
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| 0.003 | 32.0 | 6528 | 0.9652 | 0.9054 | 0.9044 | |
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| 0.003 | 33.0 | 6732 | 1.0522 | 0.9054 | 0.9045 | |
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| 0.003 | 34.0 | 6936 | 1.0332 | 0.9054 | 0.9045 | |
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| 0.0023 | 35.0 | 7140 | 1.0442 | 0.9054 | 0.9045 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.2 |
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