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paligemma1000try2000 – AI Model by mahmoudkamal105 | AlphaNeural AI
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mahmoudkamal105
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paligemma1000try2000
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peft
safetensors
llama-factory
lora
generated_from_trainer
google/paligemma-3b-pt-448
adapter
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Model card
Files and Versions
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train_2024-10-15-07-48-53
This model is a fine-tuned version of
google/paligemma-3b-pt-448
on the my_chartQA dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Num Input Tokens Seen: 6043392
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Input Tokens Seen
0.0006
1.6162
100
0.0002
3302400
Framework versions
PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1
