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trocr-IAM

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End of training

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Files changed (8) hide show
  1. README.md +6 -8
  2. generation_config.json +6 -2
  3. model.safetensors +1 -1
  4. preprocessor_config.json +22 -0
  5. runs/Dec30_08-56-20_56e0cc75e629/events.out.tfevents.1703926584.56e0cc75e629.172.2 +3 -0
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  7. runs/Dec30_09-00-43_56e0cc75e629/events.out.tfevents.1703927003.56e0cc75e629.18680.1 +3 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/trocr-small-stage1](https://huggingface.co/microsoft/trocr-small-stage1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.4671
 
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  ## Model description
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@@ -39,16 +40,13 @@ 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: 3.0
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- - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 7.0232 | 0.79 | 100 | 6.7462 |
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- | 6.4739 | 1.57 | 200 | 6.5361 |
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- | 6.2185 | 2.36 | 300 | 6.4671 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/trocr-small-stage1](https://huggingface.co/microsoft/trocr-small-stage1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.9227
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+ - Cer: 0.8191
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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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+ - training_steps: 100
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 7.0738 | 0.79 | 100 | 6.9227 | 0.8191 |
 
 
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  ### Framework versions
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