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ft-google-gemma-2b-it-qlora – AI Model by dragoa | AlphaNeural AI
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ft-google-gemma-2b-it-qlora
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peft
safetensors
trl
sft
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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: 4.2679
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0006
3.0
3
4.0944
0.0001
6.0
6
4.1717
0.0
9.0
9
4.2679
Framework versions
PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.2
