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End of training

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  1. README.md +15 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -13,13 +13,13 @@ model-index:
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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/david_hajdu/huggingface/runs/5lhu6ugu)
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  # fine-tuned-rvl-cdip
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- This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the https://www.kaggle.com/datasets/hajdudavid/rvl-dcip-sample dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9012
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- - F1: 0.7708
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  ## Model description
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@@ -44,17 +44,22 @@ 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 96 | 2.0898 | 0.4661 |
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- | No log | 2.0 | 192 | 1.2981 | 0.6510 |
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- | No log | 3.0 | 288 | 1.0922 | 0.7161 |
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- | No log | 4.0 | 384 | 0.9723 | 0.7474 |
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- | No log | 5.0 | 480 | 0.9012 | 0.7708 |
 
 
 
 
 
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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/david_hajdu/huggingface/runs/0bqlwuvd)
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  # fine-tuned-rvl-cdip
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+ This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7731
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+ - F1: 0.8177
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 96 | 2.0377 | 0.4479 |
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+ | No log | 2.0 | 192 | 1.3075 | 0.6641 |
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+ | No log | 3.0 | 288 | 0.9850 | 0.7240 |
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+ | No log | 4.0 | 384 | 0.8775 | 0.7630 |
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+ | No log | 5.0 | 480 | 0.7824 | 0.7865 |
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+ | 1.2987 | 6.0 | 576 | 0.7516 | 0.8021 |
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+ | 1.2987 | 7.0 | 672 | 0.7688 | 0.7865 |
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+ | 1.2987 | 8.0 | 768 | 0.7462 | 0.8125 |
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+ | 1.2987 | 9.0 | 864 | 0.7731 | 0.8177 |
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+ | 1.2987 | 10.0 | 960 | 0.7755 | 0.8125 |
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  ### Framework versions
model.safetensors CHANGED
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