This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the nli_es_train dataset.
It achieves the following results on the evaluation set:
Loss: 0.2187
Accuracy: 0.9276
Mcq Accuracy: 0.7904
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
