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gemma-2-2b-it-linkedin – AI Model by pavanKumar2004 | AlphaNeural AI
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pavanKumar2004
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gemma-2-2b-it-linkedin
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peft
safetensors
generated_from_trainer
google/gemma-2-2b-it
adapter
gemma
us
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gemma-2-2b-it-linkedin
This model is a fine-tuned version of
google/gemma-2-2b-it
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0787
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1182
1.0
500
0.1174
0.0868
2.0
1000
0.0836
0.0777
3.0
1500
0.0787
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.2.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0
