distilbert-base-uncased-holocaust

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

• eval_loss: 2.5116
• eval_runtime: 358.3493
• eval_samples_per_second: 13.953
• eval_steps_per_second: 0.22
• epoch: 0.3
• step: 236

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cpu
• Datasets 2.14.4
• Tokenizers 0.13.3