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mistral_logical_250_data – AI Model by Nazneen39 | AlphaNeural AI
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mistral_logical_250_data
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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mistral_logical_250_data
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0441
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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0669
3.5714
50
0.0441
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
