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gemma_sequence_classification – AI Model by thenlpresearcher | AlphaNeural AI
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gemma_sequence_classification
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peft
tensorboard
safetensors
generated_from_trainer
google/gemma-2-9b
adapter
gemma
us
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gemma_sequence_classification
This model is a fine-tuned version of
google/gemma-2-9b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2145
Pearson: 0.9718
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
No log
1.0
206
0.2220
0.9313
No log
2.0
412
0.2142
0.9564
0.3426
3.0
618
0.1653
0.9716
0.3426
4.0
824
0.2545
0.9750
0.0318
5.0
1030
0.2145
0.9718
Framework versions
PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.2.0
Tokenizers 0.20.3
