cs224u-hw_sentiment
This model is a fine-tuned version of distilbert-base-uncased.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for jonathanalgar/cs224u-hw_sentiment
Base model
distilbert/distilbert-base-uncased