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results – AI Model by Robert-Richardson | AlphaNeural AI
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.3
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apache-2.0
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This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.9932
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.9205
1.6526
500
5.9932
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
