my_DeBERTa_model

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.7012
• eval_model_preparation_time: 0.0087
• eval_accuracy: 0.4814
• eval_f1: 0.0747
• eval_precision: 0.0400
• eval_recall: 0.5741
• eval_runtime: 19.2911
• eval_samples_per_second: 55.777
• eval_steps_per_second: 18.61
• 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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1