---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuned-customer-intent-distilbert
  results: []
---

<!-- 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. -->

# finetuned-customer-intent-distilbert

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2456
- Accuracy: 0.8247
- F1: 0.8247

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 25   | 3.1005          | 0.2835   | 0.2666 |
| No log        | 2.0   | 50   | 2.5885          | 0.6598   | 0.6428 |
| No log        | 3.0   | 75   | 2.0839          | 0.6959   | 0.6772 |
| No log        | 4.0   | 100  | 1.6845          | 0.7371   | 0.7289 |
| No log        | 5.0   | 125  | 1.4019          | 0.7835   | 0.7799 |
| No log        | 6.0   | 150  | 1.2387          | 0.8093   | 0.8090 |
| No log        | 7.0   | 175  | 1.1484          | 0.8144   | 0.8143 |
| No log        | 8.0   | 200  | 1.1057          | 0.8247   | 0.8247 |
| No log        | 9.0   | 225  | 1.1020          | 0.8247   | 0.8247 |
| No log        | 10.0  | 250  | 1.1103          | 0.8247   | 0.8247 |
| No log        | 11.0  | 275  | 1.1397          | 0.8247   | 0.8247 |
| No log        | 12.0  | 300  | 1.1622          | 0.8247   | 0.8247 |
| No log        | 13.0  | 325  | 1.1783          | 0.8247   | 0.8247 |
| No log        | 14.0  | 350  | 1.1990          | 0.8247   | 0.8247 |
| No log        | 15.0  | 375  | 1.2142          | 0.8247   | 0.8247 |
| No log        | 16.0  | 400  | 1.2248          | 0.8247   | 0.8247 |
| No log        | 17.0  | 425  | 1.2333          | 0.8247   | 0.8247 |
| No log        | 18.0  | 450  | 1.2397          | 0.8247   | 0.8247 |
| No log        | 19.0  | 475  | 1.2447          | 0.8247   | 0.8247 |
| No log        | 20.0  | 500  | 1.2456          | 0.8247   | 0.8247 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1