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masterkristall
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tg_comments_model

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

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Files changed (4) hide show
  1. README.md +11 -11
  2. config.json +2 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- base_model: DeepPavlov/rubert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # tg_comments_model
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- This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0853
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- - Precision: 0.9687
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- - Recall: 0.9689
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- - F1: 0.9688
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- - Accuracy: 0.9703
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  ## Model description
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@@ -55,10 +55,10 @@ 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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- | 0.1502 | 0.2239 | 300 | 0.1232 | 0.9501 | 0.9510 | 0.9506 | 0.9530 |
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- | 0.118 | 0.4478 | 600 | 0.1065 | 0.9746 | 0.9422 | 0.9581 | 0.9609 |
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- | 0.1092 | 0.6716 | 900 | 0.0943 | 0.9709 | 0.9576 | 0.9642 | 0.9662 |
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- | 0.1081 | 0.8955 | 1200 | 0.0853 | 0.9687 | 0.9689 | 0.9688 | 0.9703 |
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  ### Framework versions
 
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  ---
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+ base_model: s-nlp/russian_toxicity_classifier
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # tg_comments_model
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+ This model is a fine-tuned version of [s-nlp/russian_toxicity_classifier](https://huggingface.co/s-nlp/russian_toxicity_classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0519
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+ - Precision: 0.9762
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+ - Recall: 0.9856
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+ - F1: 0.9809
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+ - Accuracy: 0.9817
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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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+ | 0.075 | 0.2239 | 300 | 0.0591 | 0.9833 | 0.9731 | 0.9781 | 0.9793 |
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+ | 0.0627 | 0.4478 | 600 | 0.0567 | 0.9749 | 0.9843 | 0.9796 | 0.9805 |
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+ | 0.0612 | 0.6716 | 900 | 0.0537 | 0.9795 | 0.9821 | 0.9808 | 0.9817 |
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+ | 0.0633 | 0.8955 | 1200 | 0.0519 | 0.9762 | 0.9856 | 0.9809 | 0.9817 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "DeepPavlov/rubert-base-cased",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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  "directionality": "bidi",
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
 
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  {
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+ "_name_or_path": "s-nlp/russian_toxicity_classifier",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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  "directionality": "bidi",
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+ "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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