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gemma2-9b-nli-lora-vi – AI Model by xummer | AlphaNeural AI
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gemma2-9b-nli-lora-vi
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
google/gemma-2-9b-it
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vi
This model is a fine-tuned version of
google/gemma-2-9b-it
on the nli_vi_train dataset. It achieves the following results on the evaluation set:
Loss: 0.1608
Accuracy: 0.9271
Mcq Accuracy: 0.6448
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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
0.2100
0.8
500
0.2057
0.8785
0.4672
0.2139
1.6
1000
0.2143
0.8694
0.4288
0.1494
2.4
1500
0.1678
0.9258
0.6296
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
