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mistral-journal-finetune – AI Model by Ferrxni | AlphaNeural AI
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mistral-journal-finetune
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generated_from_trainer
TheBloke/Mistral-7B-v0.1-GPTQ
finetune
apache-2.0
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mistral-journal-finetune
This model is a fine-tuned version of
TheBloke/Mistral-7B-v0.1-GPTQ
on an unknown dataset.
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: 2.5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 100
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1
