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gemma-2-2b-lora-finetuned – AI Model by nymless | AlphaNeural AI
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nymless
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gemma-2-2b-lora-finetuned
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peft
safetensors
generated_from_trainer
google/gemma-2-2b
adapter
gemma
us
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gemma-2-2b-lora-finetuned
This model is a fine-tuned version of
google/gemma-2-2b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9087
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: 0.0005
train_batch_size: 8
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: cosine
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.9661
1.0
56228
1.9576
1.9164
2.0
112456
1.9087
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
