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Howard881010/
heat_transfer_sft_10000_mcq_u_1epoch

Name: heat_transfer_sft_10000_mcq_u_1epoch
Availability: InStock

generated_from_trainer

mistralai/Mistral-Nemo-Instruct-2407

adapter

other

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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

Howard881010/heat_transfer_sft_10000_mcq_u_1epoch

heat_transfer_sft_10000_mcq_u_1epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Howard881010/
heat_transfer_sft_10000_mcq_u_1epoch