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--- |
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license: apache-2.0 |
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base_model: google/bert_uncased_L-2_H-128_A-2 |
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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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model-index: |
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- name: tiny-bert-sst2 |
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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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# tiny-bert-sst2 |
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2398 |
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- Accuracy: 0.8211 |
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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: 0.0002 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 33 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 2 |
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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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| 2.4029 | 0.1898 | 100 | 1.6095 | 0.7856 | |
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| 1.4393 | 0.3795 | 200 | 1.4015 | 0.7947 | |
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| 1.1136 | 0.5693 | 300 | 1.2956 | 0.8039 | |
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| 0.9362 | 0.7590 | 400 | 1.2324 | 0.8177 | |
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| 0.8388 | 0.9488 | 500 | 1.2880 | 0.8131 | |
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| 0.7043 | 1.1385 | 600 | 1.3109 | 0.8211 | |
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| 0.6489 | 1.3283 | 700 | 1.2199 | 0.8303 | |
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| 0.6396 | 1.5180 | 800 | 1.2270 | 0.8245 | |
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| 0.6284 | 1.7078 | 900 | 1.2459 | 0.8177 | |
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| 0.6016 | 1.8975 | 1000 | 1.2398 | 0.8211 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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