metadata
library_name: transformers
license: apache-2.0
base_model: google/siglip-base-patch16-256-multilingual
tags:
- generated_from_trainer
model-index:
- name: siglip-flickr30k-ptbr-5ep
results: []
siglip-flickr30k-ptbr-5ep
This model is a fine-tuned version of google/siglip-base-patch16-256-multilingual on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0170
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0113 | 0.6803 | 500 | 0.0112 |
| 0.0059 | 1.3605 | 1000 | 0.0107 |
| 0.006 | 2.0408 | 1500 | 0.0127 |
| 0.0036 | 2.7211 | 2000 | 0.0132 |
| 0.0022 | 3.4014 | 2500 | 0.0149 |
| 0.0024 | 4.0816 | 3000 | 0.0175 |
| 0.0019 | 4.7619 | 3500 | 0.0170 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1