heat_transfer_sft_5000_mcq_1epoch

Howard881010/heat_transfer_sft_5000_mcq_1epoch

heat_transfer_sft_5000_mcq_1epoch is a machine learning model from Howard881010. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: other
Access: Public
Created: Jan 15, 2025
Updated: Jan 15, 2025
SHA: bb7fa287

Base models

mistralai/Mistral-Nemo-Instruct-2407

Model card

From the Hugging Face model README

heat_transfer_sft_5000_mcq_1epoch

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
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.004	0.2655	30	0.0038
0.0037	0.5310	60	0.0036
0.0035	0.7965	90	0.0035

Framework versions

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

Library: peft
License: other
Created: Jan 15, 2025
Updated: Jan 15, 2025