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gemma-qwantz-punchline – AI Model by paul-stansifer | AlphaNeural AI
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paul-stansifer
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gemma-qwantz-punchline
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peft
tensorboard
safetensors
generated_from_trainer
unsloth/gemma-2b-bnb-4bit
adapter
apache-2.0
us
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gemma-qwantz-punchline
This model is a fine-tuned version of
unsloth/gemma-2b-bnb-4bit
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4710
Accuracy: 0.7824
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6508
1.0
150
0.6241
0.6235
0.5972
2.0
300
0.5388
0.7353
0.4801
3.0
450
0.4710
0.7824
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
