This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the squad_translate_ru_train dataset.
It achieves the following results on the evaluation set:
Loss: 0.2110
Accuracy: 0.9363
Mcq Accuracy: 0.7551
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
