metadata
library_name: transformers
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma-adapter
results: []
paligemma-adapter
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: 0.9127
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: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9767 | 1.0 | 8560 | 0.9846 |
| 0.9463 | 2.0 | 17120 | 0.9456 |
| 0.9415 | 3.0 | 25680 | 0.9300 |
| 0.9208 | 4.0 | 34240 | 0.9215 |
| 0.9138 | 5.0 | 42800 | 0.9163 |
| 0.9138 | 6.0 | 51360 | 0.9127 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1