This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the nli_bn_train dataset.
It achieves the following results on the evaluation set:
Loss: 2.0473
Accuracy: 0.5526
Mcq Accuracy: 0.6616
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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
