You can deploy this model and start earning money today!

Howard881010/
heat_transfer_sft_10000_mcq_1epoch

Name: heat_transfer_sft_10000_mcq_1epoch
Availability: InStock

generated_from_trainer

mistralai/Mistral-Nemo-Instruct-2407

adapter

other

Views

No views yet

heat_transfer_sft_10000_mcq_1epoch

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the heat_transfer_10000_mcq dataset. It achieves the following results on the evaluation set:

Loss: 0.0011

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	0.1333	30	0.0039
0.0037	0.2667	60	0.0036
0.0036	0.4	90	0.0034
0.0017	0.5333	120	0.0019
0.0014	0.6667	150	0.0015
0.0013	0.8	180	0.0011
0.0011	0.9333	210	0.0011

Framework versions

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

Howard881010/heat_transfer_sft_10000_mcq_1epoch

heat_transfer_sft_10000_mcq_1epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Howard881010/
heat_transfer_sft_10000_mcq_1epoch