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finetuning_mistral_2 – AI Model by juliadollis | AlphaNeural AI
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finetuning_mistral_2
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.3
adapter
apache-2.0
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finetuning_mistral_2
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: 6.8954
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
6.8401
0.9999
4806
6.8954
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.1.0
Datasets 3.1.0
Tokenizers 0.20.3
