results

This model is a fine-tuned version of bert-base-uncased on maveriq/bigbenchhard/causal_judgement.

Model description

This model is trained for 50 epochs

TrainOutput(global_step=300, training_loss=0.2707221074899038, metrics={'train_runtime': 857.2913, 'train_samples_per_second': 10.906, 'train_steps_per_second': 0.35, 'total_flos': 2460088367616000.0, 'train_loss': 0.2707221074899038, 'epoch': 50.0})

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1