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Model save

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  1. README.md +18 -18
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [alexyalunin/RuBioBERT](https://huggingface.co/alexyalunin/RuBioBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9026
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- - Precision: 0.7943
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- - Recall: 0.7969
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- - F1: 0.7956
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- - Accuracy: 0.8601
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  ## Model description
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@@ -55,21 +55,21 @@ 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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- | 0.0824 | 1.0 | 107 | 0.7494 | 0.7913 | 0.7941 | 0.7927 | 0.8564 |
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- | 0.0463 | 2.0 | 214 | 0.8337 | 0.7781 | 0.7814 | 0.7798 | 0.8491 |
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- | 0.0368 | 3.0 | 321 | 0.8365 | 0.7893 | 0.7941 | 0.7917 | 0.8538 |
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- | 0.0214 | 4.0 | 428 | 0.8609 | 0.7888 | 0.7875 | 0.7882 | 0.8561 |
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- | 0.0117 | 5.0 | 535 | 0.8701 | 0.7926 | 0.7913 | 0.7919 | 0.8577 |
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- | 0.0069 | 6.0 | 642 | 0.8605 | 0.7889 | 0.7906 | 0.7897 | 0.8558 |
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- | 0.004 | 7.0 | 749 | 0.8890 | 0.7932 | 0.7997 | 0.7964 | 0.8597 |
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- | 0.0035 | 8.0 | 856 | 0.8995 | 0.7922 | 0.7967 | 0.7944 | 0.8589 |
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- | 0.0021 | 9.0 | 963 | 0.9024 | 0.7943 | 0.7969 | 0.7956 | 0.8601 |
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- | 0.0014 | 10.0 | 1070 | 0.9026 | 0.7943 | 0.7969 | 0.7956 | 0.8601 |
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  ### Framework versions
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- - Transformers 4.38.1
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- - Pytorch 2.1.0+cu121
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- - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [alexyalunin/RuBioBERT](https://huggingface.co/alexyalunin/RuBioBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8600
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+ - Precision: 0.7989
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+ - Recall: 0.8058
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+ - F1: 0.8023
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+ - Accuracy: 0.8685
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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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+ | 0.1037 | 1.0 | 153 | 0.7450 | 0.7933 | 0.8002 | 0.7967 | 0.8632 |
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+ | 0.043 | 2.0 | 306 | 0.7535 | 0.7742 | 0.7882 | 0.7812 | 0.8558 |
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+ | 0.0314 | 3.0 | 459 | 0.7996 | 0.7874 | 0.7981 | 0.7927 | 0.8605 |
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+ | 0.0173 | 4.0 | 612 | 0.8434 | 0.7814 | 0.7906 | 0.7860 | 0.8570 |
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+ | 0.0133 | 5.0 | 765 | 0.7945 | 0.7988 | 0.8046 | 0.8017 | 0.8679 |
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+ | 0.007 | 6.0 | 918 | 0.8361 | 0.7947 | 0.8042 | 0.7994 | 0.8673 |
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+ | 0.0031 | 7.0 | 1071 | 0.8614 | 0.7969 | 0.8023 | 0.7996 | 0.8670 |
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+ | 0.0028 | 8.0 | 1224 | 0.8582 | 0.7971 | 0.8035 | 0.8003 | 0.8681 |
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+ | 0.0005 | 9.0 | 1377 | 0.8587 | 0.7989 | 0.8051 | 0.8020 | 0.8682 |
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+ | 0.0004 | 10.0 | 1530 | 0.8600 | 0.7989 | 0.8058 | 0.8023 | 0.8685 |
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  ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.2
config.json CHANGED
@@ -118,7 +118,7 @@
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.38.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 120138
 
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  "pooler_type": "first_token_transform",
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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": 2,
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  "use_cache": true,
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  "vocab_size": 120138
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
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