distilbert-base-uncased-finetuned-bible

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0845

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: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	31	2.0933
No log	2.0	62	1.7663
No log	3.0	93	2.1207

Framework versions

• Transformers 4.12.3
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.10.3