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---
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library_name: transformers
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license: apache-2.0
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base_model: google/siglip2-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: siglip2-finetuned-marathi-sign-language
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# siglip2-finetuned-marathi-sign-language
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.0006
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- Model Preparation Time: 0.0057
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- Accuracy: 0.9997
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-06
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|
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| 1.4439 | 1.0 | 940 | 0.0090 | 0.0057 | 0.9980 |
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| 0.0052 | 2.0 | 1880 | 0.0035 | 0.0057 | 0.9993 |
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| 0.0031 | 3.0 | 2820 | 0.0016 | 0.0057 | 0.9997 |
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| 0.001 | 4.0 | 3760 | 0.0010 | 0.0057 | 0.9997 |
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| 0.0007 | 5.0 | 4700 | 0.0013 | 0.0057 | 0.9997 |
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| 0.0005 | 6.0 | 5640 | 0.0006 | 0.0057 | 0.9997 |
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### Framework versions
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- Transformers 4.52.0.dev0
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.1
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- Tokenizers 0.21.1
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