This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the heat_transfer_5000_mcq dataset.
It achieves the following results on the evaluation set:
Loss: 0.0035
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: 10
eval_batch_size: 10
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 40
total_eval_batch_size: 40
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
