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rubert-base-cased-sentence-finetuned-sent_in_news_sents

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  2. README.md +89 -0
  3. config.json +52 -0
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.gitignore ADDED
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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: rubert-base-cased-sentence-finetuned-sent_in_news_sents
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.7224199288256228
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+ - name: F1
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+ type: f1
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+ value: 0.5137303178348194
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # rubert-base-cased-sentence-finetuned-sent_in_news_sents
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+
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+ This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-sentence](https://huggingface.co/DeepPavlov/rubert-base-cased-sentence) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9506
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+ - Accuracy: 0.7224
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+ - F1: 0.5137
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 14
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+ - eval_batch_size: 14
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 81 | 1.0045 | 0.6690 | 0.1388 |
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+ | No log | 2.0 | 162 | 0.9574 | 0.6228 | 0.2980 |
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+ | No log | 3.0 | 243 | 1.0259 | 0.6477 | 0.3208 |
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+ | No log | 4.0 | 324 | 1.1262 | 0.6619 | 0.4033 |
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+ | No log | 5.0 | 405 | 1.3377 | 0.6299 | 0.3909 |
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+ | No log | 6.0 | 486 | 1.5716 | 0.6868 | 0.3624 |
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+ | 0.6085 | 7.0 | 567 | 1.6286 | 0.6762 | 0.4130 |
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+ | 0.6085 | 8.0 | 648 | 1.6450 | 0.6940 | 0.4775 |
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+ | 0.6085 | 9.0 | 729 | 1.7108 | 0.7224 | 0.4920 |
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+ | 0.6085 | 10.0 | 810 | 1.8792 | 0.7046 | 0.5028 |
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+ | 0.6085 | 11.0 | 891 | 1.8670 | 0.7153 | 0.4992 |
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+ | 0.6085 | 12.0 | 972 | 1.8856 | 0.7153 | 0.4934 |
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+ | 0.0922 | 13.0 | 1053 | 1.9506 | 0.7224 | 0.5137 |
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+ | 0.0922 | 14.0 | 1134 | 2.0363 | 0.7189 | 0.4761 |
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+ | 0.0922 | 15.0 | 1215 | 2.0601 | 0.7224 | 0.5053 |
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+ | 0.0922 | 16.0 | 1296 | 2.0813 | 0.7153 | 0.5038 |
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+ | 0.0922 | 17.0 | 1377 | 2.0960 | 0.7189 | 0.5065 |
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+ | 0.0922 | 18.0 | 1458 | 2.1060 | 0.7224 | 0.5098 |
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+ | 0.0101 | 19.0 | 1539 | 2.1153 | 0.7260 | 0.5086 |
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+ | 0.0101 | 20.0 | 1620 | 2.1187 | 0.7260 | 0.5086 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.10.3
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+ - Pytorch 1.9.0+cu102
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+ - Datasets 1.12.1
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+ - Tokenizers 0.10.3
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+ "layer_norm_eps": 1e-12,
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