finetuning-DistillBERT-amazon-polarity
This model is a fine-tuned version of distilbert-base-uncased on Amazon Polarity dataset. It achieves the following results on the evaluation set:
- Loss: 0.1920
- Accuracy: 0.9167
- F1: 0.9169
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for kaustavbhattacharjee/finetuning-DistillBERT-amazon-polarity
Base model
distilbert/distilbert-base-uncasedDataset used to train kaustavbhattacharjee/finetuning-DistillBERT-amazon-polarity
Evaluation results
- Accuracy on amazon_polarityself-reported0.917
- Loss on amazon_polarityself-reported0.192
- F1 on amazon_polarityself-reported0.917