heat_transfer_sft_10000_mcq_a_1epoch

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the heat_transfer_10000_mcq_a dataset. It achieves the following results on the evaluation set:

• Loss: 0.0434

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
0.0654	0.0667	30	0.0632
0.0595	0.1333	60	0.0577
0.0546	0.2	90	0.0534
0.0555	0.2667	120	0.0530
0.052	0.3333	150	0.0524
0.0529	0.4	180	0.0509
0.0502	0.4667	210	0.0506
0.0479	0.5333	240	0.0487
0.0479	0.6	270	0.0483
0.047	0.6667	300	0.0463
0.0452	0.7333	330	0.0455
0.0437	0.8	360	0.0444
0.0442	0.8667	390	0.0439
0.0439	0.9333	420	0.0434
0.0444	1.0	450	0.0434

Framework versions

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