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causal-judge-bert – AI Model by namesarnav | AlphaNeural AI
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namesarnav
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causal-judge-bert
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transformers
safetensors
bert
text-classification
generated_from_trainer
maveriq/bigbenchhard
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
