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# cp_intent_model

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0019
- Accuracy: 1.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 38   | 0.1928          | 0.995    |
| No log        | 2.0   | 76   | 0.0130          | 1.0      |
| No log        | 3.0   | 114  | 0.0125          | 0.995    |
| No log        | 4.0   | 152  | 0.0102          | 0.995    |
| No log        | 5.0   | 190  | 0.0031          | 1.0      |
| No log        | 6.0   | 228  | 0.0026          | 1.0      |
| No log        | 7.0   | 266  | 0.0023          | 1.0      |
| No log        | 8.0   | 304  | 0.0020          | 1.0      |
| No log        | 9.0   | 342  | 0.0019          | 1.0      |
| No log        | 10.0  | 380  | 0.0019          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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