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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: stop_reasons_classificator_multilabel_pt
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# stop_reasons_classificator_multilabel_pt
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0899
+- Accuracy Thresh: 0.9760
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
+|:-------------:|:-----:|:----:|:---------------:|:---------------:|
+| No log        | 1.0   | 106  | 0.1824          | 0.9475          |
+| No log        | 2.0   | 212  | 0.1339          | 0.9630          |
+| No log        | 3.0   | 318  | 0.1109          | 0.9689          |
+| No log        | 4.0   | 424  | 0.0988          | 0.9741          |
+| 0.1439        | 5.0   | 530  | 0.0943          | 0.9743          |
+| 0.1439        | 6.0   | 636  | 0.0891          | 0.9763          |
+| 0.1439        | 7.0   | 742  | 0.0899          | 0.9760          |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.12.1+cu102
+- Datasets 2.9.0
+- Tokenizers 0.13.2