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Update README.md

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@@ -24,15 +24,19 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.391304347826087
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-
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  widget:
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- - src: https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image1.jpg
 
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  example_title: image1.jpg
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- - src: https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image2.jpg
 
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  example_title: image2.jpg
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- - src: https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image3.jpg
 
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  example_title: image3.jpg
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-
 
 
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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
@@ -53,10 +57,12 @@ 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: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -71,9 +77,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 5 | 1.8475 | 0.2609 |
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- | 1.9354 | 2.0 | 10 | 1.7295 | 0.3333 |
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- | 1.9354 | 3.0 | 15 | 1.6819 | 0.3913 |
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  ### Framework versions
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.391304347826087
 
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  widget:
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+ - src: >-
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+ https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image1.jpg
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  example_title: image1.jpg
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+ - src: >-
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+ https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image2.jpg
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  example_title: image2.jpg
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+ - src: >-
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+ https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image3.jpg
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  example_title: image3.jpg
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+ language:
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+ - en
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+ pipeline_tag: image-classification
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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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  ## Training procedure
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+ More information needed
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+
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-5
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 5 | 1.847501 | 0.260870 |
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+ | 1.9354 | 2.0 | 10 | 1.729485 | 0.333333 |
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+ | 1.9354 | 3.0 | 15 | 1.681863 | 0.391304 |
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  ### Framework versions