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kec_adapter – AI Model by Ujaini | AlphaNeural AI

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Ujaini/
kec_adapter

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text-generation

google/gemma-2-2b

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kec_adapter

This model is a fine-tuned version of google/gemma-2-2b 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.19.1
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2