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gemma-finetune-d1-old – AI Model by c-mohanraj | AlphaNeural AI
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c-mohanraj
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gemma-finetune-d1-old
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
google/gemma-3-27b-it
gemma
us
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gemma-finetune-d1
This model is a fine-tuned version of
google/gemma-3-27b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1715
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.709
0.4008
100
0.2020
1.4114
0.8016
200
0.1829
1.3051
1.2004
300
0.1783
1.2553
1.6012
400
0.1725
1.1126
2.0
500
0.1677
1.05
2.4008
600
0.1712
0.9771
2.8016
700
0.1715
Framework versions
PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1
