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Gemma_StereoDetect_Model – AI Model by thenlpresearcher | AlphaNeural AI
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Gemma_StereoDetect_Model
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peft
tensorboard
safetensors
adapter
lora
transformers
google/gemma-2-9b
gemma
us
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Gemma_StereoDetect_Model
This model is a fine-tuned version of
google/gemma-2-9b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1845
Pearson: 0.9725
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: 32
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
No log
1.0
190
0.2128
0.9568
No log
2.0
380
0.1953
0.9564
0.2912
3.0
570
0.1950
0.9694
0.2912
4.0
760
0.1864
0.9713
0.2912
5.0
950
0.1845
0.9725
Framework versions
PEFT 0.17.1
Transformers 4.56.0
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 4.0.0
Tokenizers 0.22.0
