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exp15_add_ultrafb – AI Model by trtd56 | AlphaNeural AI

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trtd56/
exp15_add_ultrafb

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

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exp15_add_ultrafb

This model is a fine-tuned version of unsloth/gemma-2-9b-it-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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 20
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1