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gemma-7b-gemma – AI Model by himanshue2e | AlphaNeural AI
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himanshue2e
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gemma-7b-gemma
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peft
safetensors
trl
sft
generated_from_trainer
generator
google/gemma-7b
adapter
other
us
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gemma-7b-gemma
This model is a fine-tuned version of
google/gemma-7b
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 7.0642
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: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.03
2
12.7700
No log
0.05
4
11.1219
11.8975
0.08
6
9.5427
11.8975
0.1
8
8.2244
8.4649
0.13
10
7.0642
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
