End of training
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- config.json +1 -1
- model.safetensors +1 -1
README.md
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rayranger/huggingface/runs/
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# khmer-trocr-base-printed
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Cer: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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### Framework versions
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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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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rayranger/huggingface/runs/hxi1ginr)
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# khmer-trocr-base-printed
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0478
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- Cer: 0.4899
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 0.0601 | 0.4876 | 1000 | 0.0793 | 0.5256 |
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| 0.0467 | 0.9751 | 2000 | 0.0706 | 0.5147 |
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| 0.0242 | 1.4627 | 3000 | 0.0658 | 0.5036 |
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| 0.0206 | 1.9503 | 4000 | 0.0587 | 0.5083 |
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| 0.0151 | 2.4378 | 5000 | 0.0610 | 0.5104 |
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| 0.0127 | 2.9254 | 6000 | 0.0521 | 0.4912 |
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| 0.0059 | 3.4130 | 7000 | 0.0497 | 0.4937 |
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| 0.0045 | 3.9005 | 8000 | 0.0478 | 0.4899 |
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### Framework versions
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config.json
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{
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"_name_or_path": "/kaggle/input/khmerocr-trocr-fine-tune-
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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{
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"_name_or_path": "/kaggle/input/khmerocr-trocr-fine-tune-v3/KhmerOCR_TrOCR",
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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model.safetensors
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