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gemma-3-1b-it-finetuned-wikitext2 – AI Model by andy013567 | AlphaNeural AI
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andy013567
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gemma-3-1b-it-finetuned-wikitext2
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/gemma-3-1b-it
gemma
us
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gemma-3-1b-it-finetuned-wikitext2
This model is a fine-tuned version of
google/gemma-3-1b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0835
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.0041
1.0
1218
3.0835
Framework versions
PEFT 0.17.0
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
