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MedRuRobertaLarge_neg

Token Classification
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  1. README.md +44 -37
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/May07_00-28-18_7d25fd5318e7/events.out.tfevents.1715041699.7d25fd5318e7.271.0 +3 -0
  5. runs/May07_00-28-18_7d25fd5318e7/events.out.tfevents.1715044297.7d25fd5318e7.271.1 +3 -0
  6. tokenizer.json +1 -0
  7. training_args.bin +2 -2
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 [DmitryPogrebnoy/MedRuRobertaLarge](https://huggingface.co/DmitryPogrebnoy/MedRuRobertaLarge) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4946
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- - Precision: 0.5932
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- - Recall: 0.5804
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- - F1: 0.5868
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- - Accuracy: 0.9015
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  ## Model description
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@@ -55,39 +55,46 @@ The following hyperparameters were used during training:
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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 | 50 | 0.6600 | 0.0 | 0.0 | 0.0 | 0.7759 |
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- | No log | 2.0 | 100 | 0.5893 | 0.0 | 0.0 | 0.0 | 0.7826 |
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- | No log | 3.0 | 150 | 0.4690 | 0.0265 | 0.0173 | 0.0210 | 0.8164 |
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- | No log | 4.0 | 200 | 0.4564 | 0.0979 | 0.1252 | 0.1099 | 0.8204 |
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- | No log | 5.0 | 250 | 0.3628 | 0.1881 | 0.2852 | 0.2266 | 0.8538 |
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- | No log | 6.0 | 300 | 0.3105 | 0.3469 | 0.3622 | 0.3544 | 0.8901 |
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- | No log | 7.0 | 350 | 0.3382 | 0.4084 | 0.3738 | 0.3903 | 0.8909 |
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- | No log | 8.0 | 400 | 0.2926 | 0.4774 | 0.4682 | 0.4728 | 0.9020 |
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- | No log | 9.0 | 450 | 0.2955 | 0.4630 | 0.4817 | 0.4721 | 0.9046 |
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- | 0.3854 | 10.0 | 500 | 0.3161 | 0.5367 | 0.4933 | 0.5141 | 0.9080 |
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- | 0.3854 | 11.0 | 550 | 0.3103 | 0.4612 | 0.6069 | 0.5241 | 0.9018 |
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- | 0.3854 | 12.0 | 600 | 0.3020 | 0.5614 | 0.6166 | 0.5877 | 0.9136 |
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- | 0.3854 | 13.0 | 650 | 0.3738 | 0.5625 | 0.5896 | 0.5757 | 0.9157 |
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- | 0.3854 | 14.0 | 700 | 0.3322 | 0.4834 | 0.5877 | 0.5304 | 0.9031 |
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- | 0.3854 | 15.0 | 750 | 0.3619 | 0.4855 | 0.5472 | 0.5145 | 0.9083 |
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- | 0.3854 | 16.0 | 800 | 0.3597 | 0.4815 | 0.6763 | 0.5625 | 0.9018 |
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- | 0.3854 | 17.0 | 850 | 0.4065 | 0.5488 | 0.6281 | 0.5858 | 0.9145 |
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- | 0.3854 | 18.0 | 900 | 0.4491 | 0.6047 | 0.6513 | 0.6271 | 0.9184 |
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- | 0.3854 | 19.0 | 950 | 0.4184 | 0.4972 | 0.6898 | 0.5779 | 0.8986 |
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- | 0.0771 | 20.0 | 1000 | 0.3366 | 0.5929 | 0.6089 | 0.6008 | 0.9238 |
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- | 0.0771 | 21.0 | 1050 | 0.6161 | 0.6834 | 0.5241 | 0.5932 | 0.9009 |
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- | 0.0771 | 22.0 | 1100 | 0.6387 | 0.3497 | 0.6859 | 0.4632 | 0.8377 |
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- | 0.0771 | 23.0 | 1150 | 0.3559 | 0.6004 | 0.6224 | 0.6112 | 0.9198 |
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- | 0.0771 | 24.0 | 1200 | 0.4161 | 0.5926 | 0.6166 | 0.6043 | 0.9203 |
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- | 0.0771 | 25.0 | 1250 | 0.4341 | 0.6365 | 0.6108 | 0.6234 | 0.9199 |
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- | 0.0771 | 26.0 | 1300 | 0.3910 | 0.6184 | 0.5838 | 0.6006 | 0.9153 |
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- | 0.0771 | 27.0 | 1350 | 0.3706 | 0.5396 | 0.6435 | 0.5870 | 0.9209 |
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- | 0.0771 | 28.0 | 1400 | 0.5059 | 0.5833 | 0.6069 | 0.5949 | 0.9157 |
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.38.2
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- - Pytorch 2.1.2
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- - Datasets 2.1.0
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- - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [DmitryPogrebnoy/MedRuRobertaLarge](https://huggingface.co/DmitryPogrebnoy/MedRuRobertaLarge) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6996
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+ - Precision: 0.5225
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+ - Recall: 0.5788
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+ - F1: 0.5492
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+ - Accuracy: 0.8955
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  ## Model description
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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 | 50 | 0.6906 | 0.0175 | 0.0019 | 0.0035 | 0.7724 |
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+ | No log | 2.0 | 100 | 0.7240 | 0.0526 | 0.0019 | 0.0037 | 0.7756 |
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+ | No log | 3.0 | 150 | 0.5668 | 0.0407 | 0.0289 | 0.0338 | 0.7668 |
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+ | No log | 4.0 | 200 | 0.4358 | 0.1326 | 0.1522 | 0.1417 | 0.8236 |
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+ | No log | 5.0 | 250 | 0.3509 | 0.1932 | 0.2177 | 0.2047 | 0.8573 |
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+ | No log | 6.0 | 300 | 0.2961 | 0.3339 | 0.3699 | 0.3510 | 0.8862 |
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+ | No log | 7.0 | 350 | 0.3715 | 0.4073 | 0.3642 | 0.3845 | 0.8820 |
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+ | No log | 8.0 | 400 | 0.2778 | 0.4511 | 0.4528 | 0.4519 | 0.9040 |
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+ | No log | 9.0 | 450 | 0.3318 | 0.4576 | 0.4778 | 0.4675 | 0.8997 |
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+ | 0.4025 | 10.0 | 500 | 0.3198 | 0.5278 | 0.5299 | 0.5288 | 0.9049 |
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+ | 0.4025 | 11.0 | 550 | 0.3157 | 0.4297 | 0.6358 | 0.5128 | 0.8909 |
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+ | 0.4025 | 12.0 | 600 | 0.3024 | 0.5548 | 0.5954 | 0.5743 | 0.9188 |
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+ | 0.4025 | 13.0 | 650 | 0.3670 | 0.6091 | 0.6185 | 0.6138 | 0.9149 |
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+ | 0.4025 | 14.0 | 700 | 0.4036 | 0.5088 | 0.6127 | 0.5559 | 0.8998 |
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+ | 0.4025 | 15.0 | 750 | 0.4116 | 0.5542 | 0.6012 | 0.5767 | 0.9085 |
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+ | 0.4025 | 16.0 | 800 | 0.3971 | 0.5301 | 0.6455 | 0.5821 | 0.9095 |
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+ | 0.4025 | 17.0 | 850 | 0.4887 | 0.5535 | 0.5183 | 0.5353 | 0.8977 |
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+ | 0.4025 | 18.0 | 900 | 0.4385 | 0.5563 | 0.6474 | 0.5984 | 0.9106 |
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+ | 0.4025 | 19.0 | 950 | 0.4007 | 0.6316 | 0.6012 | 0.6160 | 0.9219 |
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+ | 0.0841 | 20.0 | 1000 | 0.3720 | 0.5709 | 0.5896 | 0.5801 | 0.9165 |
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+ | 0.0841 | 21.0 | 1050 | 0.5100 | 0.6393 | 0.6012 | 0.6197 | 0.9150 |
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+ | 0.0841 | 22.0 | 1100 | 0.5028 | 0.5319 | 0.6590 | 0.5886 | 0.8972 |
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+ | 0.0841 | 23.0 | 1150 | 0.4347 | 0.5656 | 0.5896 | 0.5774 | 0.9149 |
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+ | 0.0841 | 24.0 | 1200 | 0.4721 | 0.5861 | 0.6031 | 0.5945 | 0.9122 |
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+ | 0.0841 | 25.0 | 1250 | 0.5677 | 0.6457 | 0.5549 | 0.5969 | 0.9116 |
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+ | 0.0841 | 26.0 | 1300 | 0.4095 | 0.6278 | 0.6435 | 0.6356 | 0.9189 |
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+ | 0.0841 | 27.0 | 1350 | 0.4633 | 0.5088 | 0.6686 | 0.5779 | 0.8989 |
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+ | 0.0841 | 28.0 | 1400 | 0.3649 | 0.5617 | 0.6493 | 0.6023 | 0.9105 |
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+ | 0.0841 | 29.0 | 1450 | 0.4653 | 0.5633 | 0.6262 | 0.5931 | 0.9111 |
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+ | 0.0464 | 30.0 | 1500 | 0.5159 | 0.5581 | 0.6474 | 0.5995 | 0.9119 |
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+ | 0.0464 | 31.0 | 1550 | 0.4562 | 0.5248 | 0.6513 | 0.5813 | 0.9090 |
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+ | 0.0464 | 32.0 | 1600 | 0.4424 | 0.5665 | 0.5742 | 0.5703 | 0.9173 |
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+ | 0.0464 | 33.0 | 1650 | 0.4866 | 0.5617 | 0.5703 | 0.5660 | 0.9164 |
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+ | 0.0464 | 34.0 | 1700 | 0.4313 | 0.3760 | 0.4586 | 0.4132 | 0.8986 |
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+ | 0.0464 | 35.0 | 1750 | 0.3786 | 0.5218 | 0.5761 | 0.5476 | 0.9093 |
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  ### Framework versions
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json CHANGED
@@ -31,7 +31,7 @@
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.38.2",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50257
 
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.40.1",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50257
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tokenizer.json CHANGED
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  "<s>": 1,
 
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  "end_of_word_suffix": "",
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  "fuse_unk": false,
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+ "ignore_merges": false,
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