End of training
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- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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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:
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tags:
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- generated_from_trainer
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datasets:
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# blip-image-captioning-large-shyam
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.0217
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- Wer Score: 0.25
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## Model description
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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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| 6.6439 | 3.5714 | 50 | 3.4493 | 0.5833 |
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| 1.4414 | 7.1429 | 100 | 0.2345 | 0.375 |
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| 0.0696 | 10.7143 | 150 | 0.0300 | 0.375 |
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| 0.0089 | 14.2857 | 200 | 0.0217 | 0.25 |
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### Framework versions
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- Transformers 4.46.0.dev0
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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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# blip-image-captioning-large-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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## Model description
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.46.0.dev0
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"BlipForConditionalGeneration"
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],
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{
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"_name_or_path": "shyamgv/blip-image-captioning-large-shyam",
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"architectures": [
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"BlipForConditionalGeneration"
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],
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model.safetensors
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training_args.bin
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