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Ilya-Nazimov
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rubert-tiny2-odonata-extended-ner

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +36 -21
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 [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: 0.0094
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- - Precision: 0.6364
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- - Recall: 0.7101
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- - F1: 0.6712
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- - Accuracy: 0.9973
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  ## Model description
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@@ -49,27 +49,42 @@ 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: 15
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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 | 32 | 0.1433 | 0.0 | 0.0 | 0.0 | 0.9961 |
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- | No log | 2.0 | 64 | 0.0364 | 0.0 | 0.0 | 0.0 | 0.9961 |
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- | No log | 3.0 | 96 | 0.0310 | 0.0 | 0.0 | 0.0 | 0.9961 |
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- | No log | 4.0 | 128 | 0.0286 | 0.0 | 0.0 | 0.0 | 0.9961 |
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- | No log | 5.0 | 160 | 0.0250 | 0.0 | 0.0 | 0.0 | 0.9961 |
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- | No log | 6.0 | 192 | 0.0183 | 0.6667 | 0.0290 | 0.0556 | 0.9962 |
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- | No log | 7.0 | 224 | 0.0141 | 0.5581 | 0.3478 | 0.4286 | 0.9965 |
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- | No log | 8.0 | 256 | 0.0122 | 0.6111 | 0.4783 | 0.5366 | 0.9969 |
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- | No log | 9.0 | 288 | 0.0111 | 0.6792 | 0.5217 | 0.5902 | 0.9971 |
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- | No log | 10.0 | 320 | 0.0105 | 0.6154 | 0.5797 | 0.5970 | 0.9970 |
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- | No log | 11.0 | 352 | 0.0101 | 0.5857 | 0.5942 | 0.5899 | 0.9971 |
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- | No log | 12.0 | 384 | 0.0097 | 0.6143 | 0.6232 | 0.6187 | 0.9972 |
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- | No log | 13.0 | 416 | 0.0096 | 0.6203 | 0.7101 | 0.6622 | 0.9972 |
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- | No log | 14.0 | 448 | 0.0094 | 0.6282 | 0.7101 | 0.6667 | 0.9973 |
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- | No log | 15.0 | 480 | 0.0094 | 0.6364 | 0.7101 | 0.6712 | 0.9973 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0063
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+ - Precision: 0.7067
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+ - Recall: 0.7681
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+ - F1: 0.7361
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+ - Accuracy: 0.9981
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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 | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 32 | 0.1795 | 0.0 | 0.0 | 0.0 | 0.9961 |
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+ | No log | 2.0 | 64 | 0.0386 | 0.0 | 0.0 | 0.0 | 0.9961 |
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+ | No log | 3.0 | 96 | 0.0316 | 0.0 | 0.0 | 0.0 | 0.9961 |
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+ | No log | 4.0 | 128 | 0.0292 | 0.0 | 0.0 | 0.0 | 0.9961 |
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+ | No log | 5.0 | 160 | 0.0231 | 0.0 | 0.0 | 0.0 | 0.9961 |
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+ | No log | 6.0 | 192 | 0.0152 | 0.6923 | 0.1304 | 0.2195 | 0.9964 |
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+ | No log | 7.0 | 224 | 0.0123 | 0.6212 | 0.5942 | 0.6074 | 0.9971 |
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+ | No log | 8.0 | 256 | 0.0108 | 0.5946 | 0.6377 | 0.6154 | 0.9970 |
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+ | No log | 9.0 | 288 | 0.0099 | 0.6269 | 0.6087 | 0.6176 | 0.9972 |
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+ | No log | 10.0 | 320 | 0.0092 | 0.5921 | 0.6522 | 0.6207 | 0.9971 |
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+ | No log | 11.0 | 352 | 0.0087 | 0.6267 | 0.6812 | 0.6528 | 0.9974 |
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+ | No log | 12.0 | 384 | 0.0083 | 0.65 | 0.7536 | 0.6980 | 0.9977 |
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+ | No log | 13.0 | 416 | 0.0079 | 0.6456 | 0.7391 | 0.6892 | 0.9976 |
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+ | No log | 14.0 | 448 | 0.0076 | 0.6375 | 0.7391 | 0.6846 | 0.9977 |
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+ | No log | 15.0 | 480 | 0.0074 | 0.6667 | 0.7826 | 0.72 | 0.9979 |
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+ | 0.0795 | 16.0 | 512 | 0.0072 | 0.6933 | 0.7536 | 0.7222 | 0.9980 |
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+ | 0.0795 | 17.0 | 544 | 0.0071 | 0.6420 | 0.7536 | 0.6933 | 0.9978 |
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+ | 0.0795 | 18.0 | 576 | 0.0069 | 0.6806 | 0.7101 | 0.6950 | 0.9979 |
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+ | 0.0795 | 19.0 | 608 | 0.0068 | 0.68 | 0.7391 | 0.7083 | 0.9980 |
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+ | 0.0795 | 20.0 | 640 | 0.0067 | 0.68 | 0.7391 | 0.7083 | 0.9980 |
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+ | 0.0795 | 21.0 | 672 | 0.0066 | 0.6842 | 0.7536 | 0.7172 | 0.9980 |
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+ | 0.0795 | 22.0 | 704 | 0.0065 | 0.6933 | 0.7536 | 0.7222 | 0.9980 |
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+ | 0.0795 | 23.0 | 736 | 0.0065 | 0.6849 | 0.7246 | 0.7042 | 0.9980 |
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+ | 0.0795 | 24.0 | 768 | 0.0064 | 0.7027 | 0.7536 | 0.7273 | 0.9981 |
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+ | 0.0795 | 25.0 | 800 | 0.0063 | 0.7027 | 0.7536 | 0.7273 | 0.9981 |
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+ | 0.0795 | 26.0 | 832 | 0.0063 | 0.7162 | 0.7681 | 0.7413 | 0.9981 |
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+ | 0.0795 | 27.0 | 864 | 0.0063 | 0.7162 | 0.7681 | 0.7413 | 0.9981 |
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+ | 0.0795 | 28.0 | 896 | 0.0063 | 0.7027 | 0.7536 | 0.7273 | 0.9981 |
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+ | 0.0795 | 29.0 | 928 | 0.0063 | 0.7067 | 0.7681 | 0.7361 | 0.9981 |
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+ | 0.0795 | 30.0 | 960 | 0.0063 | 0.7067 | 0.7681 | 0.7361 | 0.9981 |
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  ### Framework versions