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outputs – AI Model by Heedo0624 | AlphaNeural AI

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unsloth/gemma-2-2b-bnb-4bit

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outputs

This model is a fine-tuned version of unsloth/gemma-2-2b-bnb-4bit on an unknown dataset.

Model description

Create Acting Prompt with Gemma2-2b

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: 8
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 120
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1