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hack-leti-acc-0.42

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  1. README.md +33 -10
  2. model.safetensors +1 -1
  3. runs/Apr21_05-07-19_fcd1c60759f7/events.out.tfevents.1713676040.fcd1c60759f7.1663.3 +3 -0
  4. runs/Apr21_05-07-57_fcd1c60759f7/events.out.tfevents.1713676078.fcd1c60759f7.1663.4 +3 -0
  5. runs/Apr21_05-09-02_fcd1c60759f7/events.out.tfevents.1713676143.fcd1c60759f7.1663.5 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0276
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- - Accuracy: 0.4127
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  ## Model description
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@@ -42,19 +42,42 @@ 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: 7
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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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- | No log | 1.0 | 95 | 2.9270 | 0.3069 |
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- | No log | 2.0 | 190 | 2.8852 | 0.3862 |
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- | No log | 3.0 | 285 | 3.2030 | 0.3492 |
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- | No log | 4.0 | 380 | 3.2829 | 0.3333 |
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- | No log | 5.0 | 475 | 3.0708 | 0.3651 |
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- | 0.3928 | 6.0 | 570 | 3.0142 | 0.3810 |
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- | 0.3928 | 7.0 | 665 | 3.0276 | 0.4127 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.5528
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+ - Accuracy: 0.4286
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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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+ - num_epochs: 30
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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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+ | No log | 1.0 | 95 | 3.0691 | 0.2857 |
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+ | No log | 2.0 | 190 | 2.3608 | 0.4656 |
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+ | No log | 3.0 | 285 | 2.8215 | 0.4180 |
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+ | No log | 4.0 | 380 | 2.7833 | 0.3651 |
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+ | No log | 5.0 | 475 | 2.3186 | 0.4550 |
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+ | 0.5693 | 6.0 | 570 | 2.3792 | 0.4180 |
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+ | 0.5693 | 7.0 | 665 | 2.5442 | 0.4603 |
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+ | 0.5693 | 8.0 | 760 | 2.6696 | 0.4444 |
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+ | 0.5693 | 9.0 | 855 | 2.3096 | 0.4762 |
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+ | 0.5693 | 10.0 | 950 | 2.8165 | 0.4550 |
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+ | 0.4429 | 11.0 | 1045 | 3.2277 | 0.4233 |
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+ | 0.4429 | 12.0 | 1140 | 3.0367 | 0.4233 |
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+ | 0.4429 | 13.0 | 1235 | 3.3685 | 0.4127 |
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+ | 0.4429 | 14.0 | 1330 | 3.3807 | 0.4180 |
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+ | 0.4429 | 15.0 | 1425 | 3.5592 | 0.4021 |
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+ | 0.3361 | 16.0 | 1520 | 3.8085 | 0.3915 |
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+ | 0.3361 | 17.0 | 1615 | 3.3284 | 0.4233 |
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+ | 0.3361 | 18.0 | 1710 | 3.2054 | 0.4339 |
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+ | 0.3361 | 19.0 | 1805 | 3.6119 | 0.4180 |
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+ | 0.3361 | 20.0 | 1900 | 3.5837 | 0.4339 |
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+ | 0.3361 | 21.0 | 1995 | 3.4894 | 0.4180 |
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+ | 0.2764 | 22.0 | 2090 | 3.3315 | 0.4074 |
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+ | 0.2764 | 23.0 | 2185 | 3.5583 | 0.4127 |
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+ | 0.2764 | 24.0 | 2280 | 3.4930 | 0.4127 |
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+ | 0.2764 | 25.0 | 2375 | 3.5141 | 0.4339 |
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+ | 0.2764 | 26.0 | 2470 | 3.5180 | 0.4339 |
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+ | 0.2182 | 27.0 | 2565 | 3.6063 | 0.4233 |
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+ | 0.2182 | 28.0 | 2660 | 3.5765 | 0.4233 |
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+ | 0.2182 | 29.0 | 2755 | 3.5506 | 0.4233 |
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+ | 0.2182 | 30.0 | 2850 | 3.5528 | 0.4286 |
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  ### Framework versions
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