---
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