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Mistral-7B-Medical-Finetune_QA_Choices – AI Model by TachyHealthResearch | AlphaNeural AI
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TachyHealthResearch
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Mistral-7B-Medical-Finetune_QA_Choices
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peft
safetensors
mistral
trl
sft
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.1
adapter
apache-2.0
us
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Mistral-7B-Medical-Finetune_QA_Choices
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6661
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: 0.00025
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.7947
0.2
300
0.7491
0.7296
0.39
600
0.7179
0.7029
0.59
900
0.6904
0.6797
0.78
1200
0.6714
0.6685
0.98
1500
0.6661
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
