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End of training

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  1. README.md +16 -12
README.md CHANGED
@@ -1,29 +1,24 @@
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  ---
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- base_model: cxfajar197/urdu-ocr
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  language:
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  - ur
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- library_name: transformers
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: trocr
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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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- # trocr
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  This model is a fine-tuned version of [cxfajar197/urdu-ocr](https://huggingface.co/cxfajar197/urdu-ocr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.8610
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- - eval_cer: 0.2585
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- - eval_runtime: 30.7583
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- - eval_samples_per_second: 3.251
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- - eval_steps_per_second: 0.228
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- - epoch: 1.9127
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- - step: 6000
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  ## Model description
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@@ -48,9 +43,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.45.1
 
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  ---
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+ library_name: transformers
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  language:
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  - ur
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+ base_model: cxfajar197/urdu-ocr
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: trocr for Urdu
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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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+ # trocr for Urdu
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  This model is a fine-tuned version of [cxfajar197/urdu-ocr](https://huggingface.co/cxfajar197/urdu-ocr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8947
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+ - Cer: 0.2676
 
 
 
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 1
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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 | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.762 | 0.3188 | 1000 | 2.0288 | 0.2936 |
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+ | 0.6622 | 0.6376 | 2000 | 2.0111 | 0.2791 |
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+ | 0.5878 | 0.9563 | 3000 | 1.8947 | 0.2676 |
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+
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+
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  ### Framework versions
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  - Transformers 4.45.1