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# DIALOGUE2

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: 0.3422
- Precision: 0.6751
- Recall: 0.6150
- F1: 0.6316

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.3364        | 1.79  | 25   | 0.3800          | 0.6751    | 0.6150 | 0.6316 |
| 0.3019        | 3.57  | 50   | 0.3579          | 0.6751    | 0.6150 | 0.6316 |
| 0.211         | 5.36  | 75   | 0.3417          | 0.6751    | 0.6150 | 0.6316 |
| 0.2035        | 7.14  | 100  | 0.3409          | 0.6751    | 0.6150 | 0.6316 |
| 0.1817        | 8.93  | 125  | 0.3422          | 0.6751    | 0.6150 | 0.6316 |


### 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": ["precision", "recall", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "DIALOGUE2", "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