heat_transfer_sft_10000_mcq_u_1epoch

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the heat_transfer_10000_mcq_u dataset. It achieves the following results on the evaluation set:

• Loss: 0.0018

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: 2
• total_train_batch_size: 20
• total_eval_batch_size: 20
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0076	0.1139	50	0.0059
0.0054	0.2278	100	0.0050
0.0041	0.3417	150	0.0036
0.0026	0.4556	200	0.0025
0.0025	0.5695	250	0.0024
0.0022	0.6834	300	0.0021
0.0022	0.7973	350	0.0019
0.0021	0.9112	400	0.0018

Framework versions

• PEFT 0.12.0
• Transformers 4.46.0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.20.1