disitilbert_zeroshot_economics

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

Training and evaluation data

train on teknium/dataforge-economics on the task of zeroshot

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-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: 5

Training results

eval loss : 0.0503

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.16.1
• Tokenizers 0.15.0