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
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Model tree for namesarnav/causal-judge-bert
Base model
google-bert/bert-base-uncased