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gemma-7b-gem – AI Model by himanshue2e | AlphaNeural AI
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himanshue2e
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gemma-7b-gem
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peft
safetensors
trl
sft
generated_from_trainer
google/gemma-2b
adapter
gemma
us
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gemma-7b-gem
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: 1.1198
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: 2.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 15
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.016
2
1.1601
No log
0.032
4
1.1470
1.1276
0.048
6
1.1375
1.1276
0.064
8
1.1304
1.1805
0.08
10
1.1252
1.1805
0.096
12
1.1217
1.1805
0.112
14
1.1198
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
