
<!-- 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. -->

# DIALOGUE_final_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0469
- Accuracy: 0.9902

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0037        | 0.31  | 15   | 0.0496          | 0.9902   |
| 0.0013        | 0.62  | 30   | 0.0437          | 0.9902   |
| 0.0008        | 0.94  | 45   | 0.0431          | 0.9902   |
| 0.0006        | 1.25  | 60   | 0.0387          | 0.9902   |
| 0.0005        | 1.56  | 75   | 0.0447          | 0.9902   |
| 0.0004        | 1.88  | 90   | 0.0465          | 0.9902   |
| 0.0004        | 2.19  | 105  | 0.0890          | 0.9804   |
| 0.0003        | 2.5   | 120  | 0.1008          | 0.9804   |
| 0.0004        | 2.81  | 135  | 0.0469          | 0.9902   |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "DIALOGUE_final_model", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us