metadata
library_name: peft
license: gemma
base_model: google/paligemma-3b-mix-224
tags:
- generated_from_trainer
model-index:
- name: paligemma_Mix_vqa_rad_YES_N0_11
results: []
paligemma_Mix_vqa_rad_YES_N0_11
This model is a fine-tuned version of google/paligemma-3b-mix-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3830
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: 0.0002
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- optimizer: Use 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: 2
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 3.9560 | 76 | 0.2013 |
| 0.1719 | 7.9560 | 152 | 0.3830 |
Framework versions
- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0