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--- |
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language: |
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- en |
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license: apache-2.0 |
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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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model-index: |
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- name: jpqd-bert-base-ft-sst2 |
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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 SST2 |
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type: glue |
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args: sst2 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9254587155963303 |
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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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# jpqd-bert-base-ft-sst2 |
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> **Note** |
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> This model was trained for only 1 epoch and is shared for testing purposes |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE SST2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2181 |
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- Accuracy: 0.9255 |
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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: 32 |
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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: 1.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4129 | 0.12 | 250 | 0.4416 | 0.8761 | |
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| 0.412 | 0.24 | 500 | 0.4969 | 0.8899 | |
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| 0.3191 | 0.36 | 750 | 0.2717 | 0.9163 | |
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| 0.2688 | 0.48 | 1000 | 0.2432 | 0.9117 | |
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| 0.3306 | 0.59 | 1250 | 0.2033 | 0.9243 | |
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| 0.224 | 0.71 | 1500 | 0.2383 | 0.9243 | |
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| 0.2082 | 0.83 | 1750 | 0.2233 | 0.9255 | |
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| 0.2161 | 0.95 | 2000 | 0.2207 | 0.9255 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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