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gemma2b-merged1 – AI Model by KirubaLS | AlphaNeural AI
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KirubaLS
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gemma2b-merged1
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peft
safetensors
gemma
text-generation
adapter
lora
transformers
google/gemma-2b
gemma
text-generation-inference
endpoints_compatible
us
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gemma2b-merged1
This model is a fine-tuned version of
google/gemma-2b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5603
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.1739
1.0
86
1.1135
0.9078
2.0
172
1.1035
0.7077
3.0
258
1.1719
0.4307
4.0
344
1.3608
0.3097
5.0
430
1.5603
Framework versions
PEFT 0.16.0
Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
