---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: DIALOGUE_four_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DIALOGUE_four_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1237
- Accuracy: 0.9737
- Precision: 0.9762
- Recall: 0.9737
- F1: 0.9736

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.2597        | 0.31  | 15   | 1.0370          | 0.7105   | 0.6143    | 0.7105 | 0.6481 |
| 0.857         | 0.62  | 30   | 0.5686          | 0.9474   | 0.9565    | 0.9474 | 0.9468 |
| 0.5836        | 0.94  | 45   | 0.3401          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.317         | 1.25  | 60   | 0.2230          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.2482        | 1.56  | 75   | 0.1819          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.1655        | 1.88  | 90   | 0.1573          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.0814        | 2.19  | 105  | 0.1175          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.1098        | 2.5   | 120  | 0.1131          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |
| 0.0862        | 2.81  | 135  | 0.1237          | 0.9737   | 0.9762    | 0.9737 | 0.9736 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0