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Vrjb
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BLIP_Captioning

Image-to-Text
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blip
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  1. README.md +6 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0003
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  ## Model description
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@@ -42,15 +42,17 @@ The following hyperparameters were used during training:
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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: 1000
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- - num_epochs: 3
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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 |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.0023 | 1.0707 | 1500 | 0.0010 |
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- | 0.0007 | 2.1413 | 3000 | 0.0003 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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  ## Model description
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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: 1000
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+ - num_epochs: 5
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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 |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0034 | 1.0707 | 1500 | 0.0009 |
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+ | 0.0013 | 2.1413 | 3000 | 0.0003 |
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+ | 0.0009 | 3.2120 | 4500 | 0.0002 |
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+ | 0.0003 | 4.2827 | 6000 | 0.0001 |
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  ### Framework versions
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