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--- |
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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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- imdb |
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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: finetuned-self_mlm_mini |
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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: imdb |
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type: imdb |
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config: plain_text |
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split: train |
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args: plain_text |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8224 |
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- name: F1 |
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type: f1 |
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value: 0.9025460930640913 |
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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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# finetuned-self_mlm_mini |
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This model is a fine-tuned version of [muhtasham/bert-tiny-mlm-finetuned-imdb](https://huggingface.co/muhtasham/bert-tiny-mlm-finetuned-imdb) on the imdb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6150 |
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- Accuracy: 0.8224 |
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- F1: 0.9025 |
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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: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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: constant |
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- num_epochs: 200 |
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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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| 0.4426 | 2.55 | 500 | 0.4673 | 0.7928 | 0.8844 | |
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| 0.2845 | 5.1 | 1000 | 0.3099 | 0.8697 | 0.9303 | |
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| 0.2282 | 7.65 | 1500 | 0.3432 | 0.8589 | 0.9241 | |
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| 0.1819 | 10.2 | 2000 | 0.2702 | 0.8998 | 0.9472 | |
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| 0.1461 | 12.76 | 2500 | 0.4852 | 0.8344 | 0.9097 | |
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| 0.111 | 15.31 | 3000 | 0.6807 | 0.7950 | 0.8858 | |
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| 0.0883 | 17.86 | 3500 | 0.6150 | 0.8224 | 0.9025 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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