distilbert-base-uncased

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distilbert-base-uncased

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5079
• eval_accuracy: {'accuracy': 0.8217821782178217}
• eval_f1score: {'f1': 0.8201225539672061}
• eval_runtime: 2.9355
• eval_samples_per_second: 34.407
• eval_steps_per_second: 4.429
• step: 0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 70
• num_epochs: 7

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2