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gemma_hg – AI Model by alexionby | AlphaNeural AI
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alexionby
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gemma_hg
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peft
safetensors
generated_from_trainer
google/paligemma-3b-pt-224
adapter
gemma
us
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gemma_hg
This model is a fine-tuned version of
google/paligemma-3b-pt-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.1803
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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
3.2946
7.6923
25
2.8461
2.4688
15.3846
50
3.0570
1.7313
23.0769
75
4.2260
1.1646
30.7692
100
4.8145
0.8469
38.4615
125
5.0539
0.7022
46.1538
150
5.1803
Framework versions
PEFT 0.9.0
Transformers 4.41.2
Pytorch 2.1.2.post300
Datasets 2.18.0
Tokenizers 0.19.1
