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gemma2-9b-gsm8k-lora-fr – AI Model by xummer | AlphaNeural AI
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gemma2-9b-gsm8k-lora-fr
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
google/gemma-2-9b-it
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fr
This model is a fine-tuned version of
google/gemma-2-9b-it
on the gsm8k_fr_train dataset. It achieves the following results on the evaluation set:
Loss: 0.4021
Accuracy: 0.8894
Mcq Accuracy: 0.3842
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Mcq Accuracy
0.3701
0.64
200
0.3735
0.8886
0.3641
0.3163
1.2784
400
0.3680
0.8912
0.3976
0.2846
1.9184
600
0.3584
0.8926
0.3882
0.1969
2.5568
800
0.4004
0.8893
0.3788
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
