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ruBertTiny_attr

Text Classification
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bert
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End of training

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  1. README.md +15 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.4184
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- - Accuracy: 0.8098
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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: cosine
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- - num_epochs: 2
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:-----:|:---------------:|:--------:|
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- | 0.5379 | 0.3423 | 10000 | 0.4906 | 0.7652 |
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- | 0.4719 | 0.6846 | 20000 | 0.4442 | 0.7909 |
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- | 0.4464 | 1.0269 | 30000 | 0.4370 | 0.8005 |
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- | 0.415 | 1.3693 | 40000 | 0.4219 | 0.8063 |
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- | 0.4069 | 1.7116 | 50000 | 0.4184 | 0.8098 |
 
 
 
 
 
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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: 0.3646
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+ - Accuracy: 0.8333
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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: cosine
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+ - num_epochs: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:------:|:---------------:|:--------:|
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+ | 0.535 | 0.2739 | 10000 | 0.4769 | 0.7607 |
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+ | 0.4716 | 0.5478 | 20000 | 0.4518 | 0.7906 |
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+ | 0.445 | 0.8217 | 30000 | 0.4550 | 0.7906 |
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+ | 0.422 | 1.0956 | 40000 | 0.4331 | 0.8034 |
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+ | 0.4017 | 1.3695 | 50000 | 0.3964 | 0.8291 |
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+ | 0.3919 | 1.6434 | 60000 | 0.3904 | 0.8205 |
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+ | 0.3862 | 1.9173 | 70000 | 0.3772 | 0.8162 |
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+ | 0.3665 | 2.1912 | 80000 | 0.3819 | 0.8291 |
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+ | 0.3553 | 2.4651 | 90000 | 0.3730 | 0.8248 |
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+ | 0.3555 | 2.7391 | 100000 | 0.3646 | 0.8333 |
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  ### Framework versions
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