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mahmoudkamal105
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paligemma1000try2000

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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metadata
base_model: google/paligemma-3b-pt-448
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: train_2024-10-15-07-48-53
    results: []

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