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End of training

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  1. README.md +2 -15
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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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: Salesforce/blip-image-captioning-large
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -16,10 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # blip-image-captioning-large-shyam
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- This model is a fine-tuned version of [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) on the imagefolder dataset.
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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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@@ -47,16 +44,6 @@ The following hyperparameters were used during training:
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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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-
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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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-
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-
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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
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "Salesforce/blip-image-captioning-large",
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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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  ],
model.safetensors CHANGED
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training_args.bin CHANGED
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