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Howard881010/
epidemiology_sft_10000_mcq_1epoch

Name: epidemiology_sft_10000_mcq_1epoch
Availability: InStock

generated_from_trainer

mistralai/Mistral-Nemo-Instruct-2407

adapter

other

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epidemiology_sft_10000_mcq_1epoch

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the epidemiology_10000_mcq dataset. It achieves the following results on the evaluation set:

Loss: 0.0024

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
0.0041	0.0667	30	0.0040
0.0039	0.1333	60	0.0039
0.0039	0.2	90	0.0039
0.0039	0.2667	120	0.0039
0.0038	0.3333	150	0.0041
0.0038	0.4	180	0.0038
0.003	0.4667	210	0.0028
0.0029	0.5333	240	0.0026
0.0027	0.6	270	0.0026
0.0027	0.6667	300	0.0025
0.0027	0.7333	330	0.0025
0.0026	0.8	360	0.0025
0.0026	0.8667	390	0.0024
0.0024	0.9333	420	0.0024
0.0025	1.0	450	0.0024

Framework versions

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

Howard881010/epidemiology_sft_10000_mcq_1epoch

epidemiology_sft_10000_mcq_1epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Howard881010/
epidemiology_sft_10000_mcq_1epoch