This model is a fine-tuned version of google/gemma-2-9b-it on the squad_translate_vi_train dataset.
It achieves the following results on the evaluation set:
Loss: 0.2400
Accuracy: 0.9502
Mcq Accuracy: 0.7463
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
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
