distilled_bert_finetuning
This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.
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Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.21.2
- Pytorch 1.11.0+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
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