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Training complete

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  1. README.md +13 -7
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@@ -16,12 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.6917
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- - eval_runtime: 160.9578
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- - eval_samples_per_second: 56.22
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- - eval_steps_per_second: 0.882
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- - epoch: 0.98
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- - step: 39
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  ## Model description
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@@ -49,7 +44,18 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 6
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3716
 
 
 
 
 
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.98 | 39 | 0.6917 |
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+ | 0.6907 | 1.98 | 78 | 0.6750 |
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+ | 0.6787 | 2.99 | 118 | 0.6189 |
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+ | 0.6125 | 3.99 | 158 | 0.5301 |
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+ | 0.6125 | 4.92 | 195 | 0.3716 |
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+
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  ### Framework versions
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