fine-tuned-distilbert-base-uncased

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

• eval_loss: 0.8909
• eval_model_preparation_time: 0.0101
• eval_accuracy: {'accuracy': 0.5365853658536586}
• eval_f1score: {'f1': 0.44261119081779055}
• eval_runtime: 57.5493
• eval_samples_per_second: 0.712
• eval_steps_per_second: 0.104
• 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: 28
• num_epochs: 7

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Tokenizers 0.19.1