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meow – AI Model by avii45 | AlphaNeural AI
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avii45
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meow
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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meow
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.6.0+cu124
Datasets 2.19.1
Tokenizers 0.19.1
