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ruBert-base-finetuned-pos

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End of training

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  1. README.md +58 -13
  2. model.safetensors +1 -1
  3. runs/Mar14_09-30-00_423946ca484c/events.out.tfevents.1710408633.423946ca484c.1459.0 +2 -2
  4. runs/Mar14_09-30-00_423946ca484c/events.out.tfevents.1710409469.423946ca484c.1459.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0533
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- - Precision: 0.0
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- - Recall: 0.0
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- - F1: 0.0
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- - Accuracy: 0.0
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  ## Model description
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@@ -49,17 +49,62 @@ 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: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 2 | 1.2426 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 4 | 1.1435 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 6 | 1.0921 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 4.0 | 8 | 1.0643 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 5.0 | 10 | 1.0533 | 0.0 | 0.0 | 0.0 | 0.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4334
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+ - Precision: 0.6105
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+ - Recall: 0.5297
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+ - F1: 0.5672
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+ - Accuracy: 0.6302
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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: 50
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 2 | 3.3953 | 0.0380 | 0.0365 | 0.0373 | 0.0227 |
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+ | No log | 2.0 | 4 | 2.8484 | 0.0487 | 0.0251 | 0.0331 | 0.0124 |
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+ | No log | 3.0 | 6 | 2.3028 | 0.0 | 0.0 | 0.0 | 0.0021 |
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+ | No log | 4.0 | 8 | 1.8223 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 5.0 | 10 | 1.4954 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 6.0 | 12 | 1.3017 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 7.0 | 14 | 1.1878 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 8.0 | 16 | 1.1186 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 9.0 | 18 | 1.0686 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 10.0 | 20 | 1.0243 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 11.0 | 22 | 0.9837 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 12.0 | 24 | 0.9464 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 13.0 | 26 | 0.9117 | 0.0 | 0.0 | 0.0 | 0.0041 |
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+ | No log | 14.0 | 28 | 0.8793 | 0.0 | 0.0 | 0.0 | 0.0537 |
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+ | No log | 15.0 | 30 | 0.8493 | 0.0 | 0.0 | 0.0 | 0.1715 |
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+ | No log | 16.0 | 32 | 0.8223 | 0.5 | 0.0023 | 0.0045 | 0.2169 |
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+ | No log | 17.0 | 34 | 0.7976 | 0.5 | 0.0320 | 0.0601 | 0.2665 |
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+ | No log | 18.0 | 36 | 0.7738 | 0.5147 | 0.0799 | 0.1383 | 0.3140 |
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+ | No log | 19.0 | 38 | 0.7509 | 0.48 | 0.1096 | 0.1784 | 0.3388 |
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+ | No log | 20.0 | 40 | 0.7292 | 0.4599 | 0.1438 | 0.2191 | 0.3698 |
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+ | No log | 21.0 | 42 | 0.7088 | 0.4444 | 0.1826 | 0.2589 | 0.4029 |
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+ | No log | 22.0 | 44 | 0.6889 | 0.4369 | 0.2055 | 0.2795 | 0.4215 |
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+ | No log | 23.0 | 46 | 0.6690 | 0.4328 | 0.2352 | 0.3047 | 0.4442 |
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+ | No log | 24.0 | 48 | 0.6498 | 0.4444 | 0.2648 | 0.3319 | 0.4690 |
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+ | No log | 25.0 | 50 | 0.6306 | 0.4513 | 0.2854 | 0.3497 | 0.4835 |
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+ | No log | 26.0 | 52 | 0.6117 | 0.4574 | 0.2945 | 0.3583 | 0.4897 |
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+ | No log | 27.0 | 54 | 0.5937 | 0.4510 | 0.2945 | 0.3564 | 0.4959 |
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+ | No log | 28.0 | 56 | 0.5770 | 0.4558 | 0.3059 | 0.3661 | 0.5041 |
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+ | No log | 29.0 | 58 | 0.5616 | 0.4852 | 0.3379 | 0.3984 | 0.5269 |
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+ | No log | 30.0 | 60 | 0.5475 | 0.5 | 0.3562 | 0.416 | 0.5393 |
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+ | No log | 31.0 | 62 | 0.5347 | 0.5077 | 0.3767 | 0.4325 | 0.5517 |
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+ | No log | 32.0 | 64 | 0.5225 | 0.5301 | 0.4018 | 0.4571 | 0.5640 |
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+ | No log | 33.0 | 66 | 0.5112 | 0.5341 | 0.4110 | 0.4645 | 0.5702 |
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+ | No log | 34.0 | 68 | 0.5012 | 0.5449 | 0.4292 | 0.4802 | 0.5826 |
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+ | No log | 35.0 | 70 | 0.4924 | 0.5447 | 0.4315 | 0.4815 | 0.5826 |
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+ | No log | 36.0 | 72 | 0.4845 | 0.5537 | 0.4475 | 0.4949 | 0.5930 |
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+ | No log | 37.0 | 74 | 0.4773 | 0.5577 | 0.4521 | 0.4994 | 0.5971 |
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+ | No log | 38.0 | 76 | 0.4706 | 0.5635 | 0.4658 | 0.51 | 0.6033 |
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+ | No log | 39.0 | 78 | 0.4645 | 0.5671 | 0.4726 | 0.5156 | 0.6054 |
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+ | No log | 40.0 | 80 | 0.4590 | 0.5772 | 0.4863 | 0.5279 | 0.6116 |
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+ | No log | 41.0 | 82 | 0.4540 | 0.5822 | 0.4932 | 0.5340 | 0.6136 |
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+ | No log | 42.0 | 84 | 0.4496 | 0.5903 | 0.5 | 0.5414 | 0.6157 |
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+ | No log | 43.0 | 86 | 0.4457 | 0.5963 | 0.5091 | 0.5493 | 0.6178 |
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+ | No log | 44.0 | 88 | 0.4425 | 0.6021 | 0.5183 | 0.5571 | 0.6240 |
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+ | No log | 45.0 | 90 | 0.4398 | 0.6021 | 0.5183 | 0.5571 | 0.6240 |
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+ | No log | 46.0 | 92 | 0.4376 | 0.6042 | 0.5228 | 0.5606 | 0.6260 |
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+ | No log | 47.0 | 94 | 0.4358 | 0.6042 | 0.5228 | 0.5606 | 0.6260 |
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+ | No log | 48.0 | 96 | 0.4345 | 0.6079 | 0.5274 | 0.5648 | 0.6281 |
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+ | No log | 49.0 | 98 | 0.4337 | 0.6105 | 0.5297 | 0.5672 | 0.6302 |
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+ | No log | 50.0 | 100 | 0.4334 | 0.6105 | 0.5297 | 0.5672 | 0.6302 |
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  ### Framework versions
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