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working – AI Model by s8n29 | AlphaNeural AI
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peft
safetensors
generated_from_trainer
unsloth/gemma-2-9b-it-bnb-4bit
adapter
gemma
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This model is a fine-tuned version of
unsloth/gemma-2-9b-it-bnb-4bit
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3774
Acc: 0.35
Log Loss: 1.3774
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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Acc
Log Loss
3.0058
1.0
10
1.8528
0.4
1.8527
2.9092
2.0
20
1.7207
0.45
1.7206
2.6161
3.0
30
1.5368
0.4
1.5367
2.3656
4.0
40
1.4192
0.35
1.4191
2.1831
5.0
50
1.3774
0.35
1.3774
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
