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End of training

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1854
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  ## Model description
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@@ -41,16 +41,31 @@ 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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- - lr_scheduler_warmup_steps: 50
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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 3.5768 | 1.6393 | 100 | 3.1825 |
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- | 3.4167 | 3.2787 | 200 | 3.1319 |
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- | 3.3584 | 4.9180 | 300 | 3.1854 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0073
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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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+ - lr_scheduler_warmup_steps: 25
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+ - num_epochs: 15
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | No log | 0.8065 | 50 | 3.2215 |
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+ | 3.5557 | 1.6129 | 100 | 3.1603 |
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+ | 3.5557 | 2.4194 | 150 | 3.0890 |
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+ | 3.4117 | 3.2258 | 200 | 3.0941 |
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+ | 3.4117 | 4.0323 | 250 | 3.1186 |
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+ | 3.324 | 4.8387 | 300 | 3.1086 |
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+ | 3.324 | 5.6452 | 350 | 3.0218 |
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+ | 3.2389 | 6.4516 | 400 | 3.1045 |
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+ | 3.2389 | 7.2581 | 450 | 2.9879 |
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+ | 3.2033 | 8.0645 | 500 | 3.0223 |
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+ | 3.2033 | 8.8710 | 550 | 3.0385 |
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+ | 3.208 | 9.6774 | 600 | 2.9855 |
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+ | 3.208 | 10.4839 | 650 | 2.9403 |
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+ | 3.1853 | 11.2903 | 700 | 3.0554 |
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+ | 3.1853 | 12.0968 | 750 | 3.0020 |
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+ | 3.1617 | 12.9032 | 800 | 2.9592 |
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+ | 3.1617 | 13.7097 | 850 | 3.0212 |
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+ | 3.1488 | 14.5161 | 900 | 3.0073 |
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  ### Framework versions
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