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gemma-2-9b-it-lora-math – AI Model by yspkm | AlphaNeural AI
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gemma-2-9b-it-lora-math
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safetensors
generated_from_trainer
google/gemma-2-9b-it
finetune
gemma
us
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gemma-2-9b-it-lora-math
This model is a fine-tuned version of
google/gemma-2-9b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3473
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3854
0.5133
200
0.3881
0.3524
1.0266
400
0.3642
0.3278
1.5399
600
0.3537
0.2925
2.0533
800
0.3488
0.2827
2.5666
1000
0.3473
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
