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serenity – AI Model by Besciamella | AlphaNeural AI
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Besciamella
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serenity
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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serenity
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the generator 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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
