distilbert-base-uncased-binaryclassification-test1

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distilbert-base-uncased-binaryclassification-test1

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4215
• Accuracy: 0.8358
• Precision: 0.8442
• Recall: 0.9319
• F1: 0.8859

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: 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: 3

Training results

Framework versions

• Transformers 4.40.0
• Pytorch 2.5.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1