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--- |
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library_name: transformers |
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license: bsd-3-clause |
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base_model: shyamgv/blip-image-captioning-large-shyam |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: blip-image-captioning-large-shyam-shyam |
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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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# blip-image-captioning-large-shyam-shyam |
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This model is a fine-tuned version of [shyamgv/blip-image-captioning-large-shyam](https://huggingface.co/shyamgv/blip-image-captioning-large-shyam) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0044 |
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- Wer Score: 0.1111 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use 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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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Score | |
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|:-------------:|:-------:|:----:|:---------------:|:---------:| |
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| 0.0104 | 2.9412 | 50 | 0.0041 | 0.1111 | |
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| 0.0025 | 5.8824 | 100 | 0.0049 | 0.1111 | |
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| 0.0003 | 8.8235 | 150 | 0.0056 | 0.1667 | |
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| 0.0002 | 11.7647 | 200 | 0.0045 | 0.1111 | |
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| 0.0001 | 14.7059 | 250 | 0.0044 | 0.1111 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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