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--- |
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library_name: transformers |
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language: |
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- en |
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base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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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_tiny_lda_100_v1_book_mrpc |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE MRPC |
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type: glue |
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args: mrpc |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7475490196078431 |
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- name: F1 |
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type: f1 |
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value: 0.8303130148270182 |
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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_tiny_lda_100_v1_book_mrpc |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on the GLUE MRPC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5396 |
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- Accuracy: 0.7475 |
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- F1: 0.8303 |
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- Combined Score: 0.7889 |
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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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| 0.62 | 1.0 | 15 | 0.5966 | 0.6740 | 0.7892 | 0.7316 | |
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| 0.5856 | 2.0 | 30 | 0.5702 | 0.7010 | 0.8129 | 0.7569 | |
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| 0.5467 | 3.0 | 45 | 0.5471 | 0.7279 | 0.8195 | 0.7737 | |
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| 0.4866 | 4.0 | 60 | 0.5721 | 0.7426 | 0.8331 | 0.7879 | |
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| 0.4174 | 5.0 | 75 | 0.5396 | 0.7475 | 0.8303 | 0.7889 | |
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| 0.3418 | 6.0 | 90 | 0.5986 | 0.75 | 0.8211 | 0.7855 | |
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| 0.2528 | 7.0 | 105 | 0.6746 | 0.6985 | 0.7593 | 0.7289 | |
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| 0.1784 | 8.0 | 120 | 0.6922 | 0.7304 | 0.7925 | 0.7614 | |
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| 0.1522 | 9.0 | 135 | 0.7651 | 0.7574 | 0.8395 | 0.7984 | |
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| 0.1123 | 10.0 | 150 | 0.7805 | 0.7574 | 0.8308 | 0.7941 | |
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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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