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0721_210856-google-gemma-2b – AI Model by steve-sli | AlphaNeural AI
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steve-sli
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0721_210856-google-gemma-2b
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peft
safetensors
trl
reward-trainer
generated_from_trainer
google/gemma-2b
adapter
gemma
us
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0721_210856-google-gemma-2b
This model is a fine-tuned version of
google/gemma-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6404
Accuracy: 1.0
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: 1e-08
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3202
5.0
5
0.6404
1.0
0.3202
10.0
10
0.6404
1.0
Framework versions
PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
