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/aaily8na)
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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: 0.0555
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- Cer: 0.5045
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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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| 0.118 | 0.4876 | 1000 | 0.0985 | 0.5393 |
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| 0.0753 | 0.9751 | 2000 | 0.0915 | 0.5197 |
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| 0.0498 | 1.4627 | 3000 | 0.0869 | 0.5152 |
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| 0.042 | 1.9503 | 4000 | 0.0711 | 0.4999 |
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| 0.0215 | 2.4378 | 5000 | 0.0661 | 0.5244 |
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| 0.0236 | 2.9254 | 6000 | 0.0602 | 0.5139 |
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| 0.0117 | 3.4130 | 7000 | 0.0589 | 0.4950 |
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| 0.0068 | 3.9005 | 8000 | 0.0555 | 0.5045 |
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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-v2/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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