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train_run-gemma-3-1b-it-arabic-diacritization_10k – AI Model by Bisher | AlphaNeural AI
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train_run-gemma-3-1b-it-arabic-diacritization_10k
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peft
safetensors
generated_from_trainer
google/gemma-3-1b-it
adapter
gemma
us
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train_run-gemma-3-1b-it-arabic-diacritization_10k
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: 0.1592
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: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.1628
0.8
500
0.1592
Framework versions
PEFT 0.14.0
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
