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# banking-intent-distilbert-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the banking77 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3307
- Accuracy: 0.925

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0124        | 1.0   | 313  | 0.3307          | 0.925    |
| 0.0102        | 2.0   | 626  | 0.3331          | 0.9289   |
| 0.0077        | 3.0   | 939  | 0.3381          | 0.9282   |
| 0.0062        | 4.0   | 1252 | 0.3406          | 0.9276   |
| 0.0059        | 5.0   | 1565 | 0.3423          | 0.9282   |
| 0.0045        | 6.0   | 1878 | 0.3445          | 0.9282   |
| 0.0046        | 7.0   | 2191 | 0.3458          | 0.9286   |
| 0.0041        | 8.0   | 2504 | 0.3470          | 0.9286   |
| 0.0038        | 9.0   | 2817 | 0.3472          | 0.9286   |
| 0.0034        | 10.0  | 3130 | 0.3475          | 0.9286   |


### 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"], "datasets": ["banking77"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "banking-intent-distilbert-classifier", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "banking77", "type": "banking77", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.925, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer dataset:banking77 base_model:distilbert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us