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--- |
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library_name: transformers |
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base_model: gokulsrinivasagan/bert_base_lda_5_v1 |
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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: bert_base_lda_5_v1_qqp |
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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_base_lda_5_v1_qqp |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5420 |
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- Accuracy: 0.8560 |
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- F1: 0.8002 |
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- Combined Score: 0.8281 |
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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: 256 |
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- eval_batch_size: 256 |
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- seed: 10 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:| |
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| 0.449 | 1.0 | 1422 | 0.3986 | 0.8140 | 0.7293 | 0.7717 | |
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| 0.3328 | 2.0 | 2844 | 0.3662 | 0.8379 | 0.7796 | 0.8087 | |
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| 0.2532 | 3.0 | 4266 | 0.3697 | 0.8430 | 0.7975 | 0.8202 | |
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| 0.1908 | 4.0 | 5688 | 0.4016 | 0.8528 | 0.7973 | 0.8250 | |
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| 0.1448 | 5.0 | 7110 | 0.4637 | 0.8542 | 0.7932 | 0.8237 | |
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| 0.112 | 6.0 | 8532 | 0.4905 | 0.8572 | 0.8037 | 0.8304 | |
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| 0.0917 | 7.0 | 9954 | 0.5420 | 0.8560 | 0.8002 | 0.8281 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.20.3 |
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