metadata
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma_newslakeandmadvqa_conbime
results: []
paligemma_newslakeandmadvqa_conbime
This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0349
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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Use OptimizerNames.ADAMW_HF 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: 900
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6592 | 0.1768 | 100 | 5.9832 |
| 5.1792 | 0.3535 | 200 | 4.5564 |
| 3.6303 | 0.5303 | 300 | 3.2205 |
| 2.8756 | 0.7070 | 400 | 2.5592 |
| 2.3211 | 0.8838 | 500 | 2.1059 |
| 1.9172 | 1.0605 | 600 | 1.8195 |
| 1.7352 | 1.2373 | 700 | 1.6310 |
| 1.621 | 1.4141 | 800 | 1.4883 |
| 1.4855 | 1.5908 | 900 | 1.3832 |
| 1.4496 | 1.7676 | 1000 | 1.2959 |
| 1.2769 | 1.9443 | 1100 | 1.2350 |
| 1.2199 | 2.1211 | 1200 | 1.1831 |
| 1.2619 | 2.2978 | 1300 | 1.1391 |
| 1.1412 | 2.4746 | 1400 | 1.0943 |
| 1.0869 | 2.6513 | 1500 | 1.0589 |
| 1.123 | 2.8281 | 1600 | 1.0349 |
Framework versions
- PEFT 0.13.0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0