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ft-google-gemma-2b-it-qlora – AI Model by tsk-18 | AlphaNeural AI
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ft-google-gemma-2b-it-qlora
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peft
safetensors
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google/gemma-2b-it
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ft-google-gemma-2b-it-qlora
This model is a fine-tuned version of
google/gemma-2b-it
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6079
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2365
1.0
1
2.6422
0.1717
2.0
2
2.2893
0.1298
3.0
3
1.9988
0.0971
4.0
4
1.7610
0.0673
5.0
5
1.6079
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
