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End of training

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@@ -15,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # git-base-caption
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -39,11 +42,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
 
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  # git-base-caption
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.6179
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+ - Wer Score: 9.0625
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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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 | Wer Score |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 10.1592 | 10.0 | 10 | 8.7538 | 31.2656 |
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+ | 8.2408 | 20.0 | 20 | 7.7825 | 31.5 |
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+ | 7.4378 | 30.0 | 30 | 7.1866 | 15.625 |
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+ | 6.9092 | 40.0 | 40 | 6.7962 | 9.375 |
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+ | 6.5994 | 50.0 | 50 | 6.6179 | 9.0625 |
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  ### Framework versions