---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-DIALOCONAN-WIKI-CLS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-DIALOCONAN-WIKI-CLS

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4006
- Precision: 0.6306
- Recall: 0.6327
- F1: 0.6316
- Accuracy: 0.9460

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.3444        | 1.0   | 2500  | 0.3613          | 0.6877    | 0.6910 | 0.6884 | 0.9171   |
| 0.2104        | 2.0   | 5000  | 0.3773          | 0.7006    | 0.7035 | 0.7017 | 0.9344   |
| 0.1061        | 3.0   | 7500  | 0.3585          | 0.7054    | 0.7074 | 0.7063 | 0.9404   |
| 0.0669        | 4.0   | 10000 | 0.4002          | 0.6291    | 0.6309 | 0.6299 | 0.9434   |
| 0.0327        | 5.0   | 12500 | 0.4006          | 0.6306    | 0.6327 | 0.6316 | 0.9460   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1