metadata
library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: vqamed_exp
results: []
vqamed_exp
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: 0.7403
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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5638 | 0.3125 | 100 | 1.1130 |
| 1.2452 | 0.625 | 200 | 0.9256 |
| 1.0757 | 0.9375 | 300 | 0.8467 |
| 0.8429 | 1.25 | 400 | 0.8236 |
| 0.9455 | 1.5625 | 500 | 0.7959 |
| 0.8045 | 1.875 | 600 | 0.7693 |
| 0.6543 | 2.1875 | 700 | 0.7652 |
| 0.7764 | 2.5 | 800 | 0.7567 |
| 0.7508 | 2.8125 | 900 | 0.7401 |
| 0.593 | 3.125 | 1000 | 0.7403 |
Framework versions
- PEFT 0.11.1
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0