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Gemma-1000-4bit-qlora – AI Model by mooo16 | AlphaNeural AI
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mooo16
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Gemma-1000-4bit-qlora
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
google/gemma-2b
adapter
gemma
us
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Gemma-1000-4bit-qlora
This model is a fine-tuned version of
google/gemma-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0122
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.057
1.0
113
0.0335
0.02
2.0
226
0.0249
0.0018
3.0
339
0.0147
0.0007
4.0
452
0.0097
0.0001
5.0
565
0.0122
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
