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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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model-index: |
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- name: tiny-bert-sst2-distilled |
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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-distilled |
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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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- eval_loss: 0.4144 |
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- eval_accuracy: 0.8229 |
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- eval_recall: 0.8885 |
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- eval_precision: 0.7855 |
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- eval_f1: 0.8338 |
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- eval_runtime: 28.3161 |
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- eval_samples_per_second: 36.093 |
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- eval_steps_per_second: 1.13 |
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- epoch: 5.0 |
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- step: 480 |
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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: 0.00012559849066773733 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: linear |
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- num_epochs: 9 |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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