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combine_dataset_mistral_3 – AI Model by Jesslyn26 | AlphaNeural AI
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Jesslyn26
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combine_dataset_mistral_3
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.3
adapter
apache-2.0
us
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combine_dataset_mistral_3
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: 1.3873
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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.5702
0.9900
87
1.5836
1.4279
1.9900
174
1.4446
1.3703
2.9900
261
1.3873
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
