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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- sst2 |
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model-index: |
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- name: TinyBERT_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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# TinyBERT_SST2 |
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This model is a TinyBERT_General_4L_312D fine-tuned version on the SST-2 dataset. |
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## Model description |
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Follows the TinyBERT architecture. |
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## Intended uses & limitations |
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Purpose : to perform sentiment-classification on the SST-2 dataset. |
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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: 8 |
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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: 2 |
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### Training results |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.15.0 |
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