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---
library_name: transformers
license: apache-2.0
base_model: google/siglip2-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: siglip2-finetuned-marathi-sign-language
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# siglip2-finetuned-marathi-sign-language
This model is a fine-tuned version of [google/siglip2-base-patch16-224](https://huggingface.co/google/siglip2-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0006
- Model Preparation Time: 0.0057
- Accuracy: 0.9997
## 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-06
- train_batch_size: 32
- eval_batch_size: 8
- 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_steps: 50
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|
| 1.4439 | 1.0 | 940 | 0.0090 | 0.0057 | 0.9980 |
| 0.0052 | 2.0 | 1880 | 0.0035 | 0.0057 | 0.9993 |
| 0.0031 | 3.0 | 2820 | 0.0016 | 0.0057 | 0.9997 |
| 0.001 | 4.0 | 3760 | 0.0010 | 0.0057 | 0.9997 |
| 0.0007 | 5.0 | 4700 | 0.0013 | 0.0057 | 0.9997 |
| 0.0005 | 6.0 | 5640 | 0.0006 | 0.0057 | 0.9997 |
### Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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