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legal-simplification-gemma2-9b – AI Model by subha-roy | AlphaNeural AI | AlphaNeural AI

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legal-simplification-gemma2-9b

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unsloth/gemma-2-9b-bnb-4bit

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legal-simplification-gemma2-9b

This model is a fine-tuned version of unsloth/gemma-2-9b-bnb-4bit on the None 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: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 60
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.1
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1