---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: directquote-variedStyles
  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. -->

# directquote-variedStyles

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2339
- Precision: 0.7440
- Recall: 0.9090
- F1: 0.8182
- Accuracy: 0.9355

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.3392        | 1.0   | 976  | 0.2050          | 0.7040    | 0.8297 | 0.7617 | 0.9327   |
| 0.1915        | 2.0   | 1952 | 0.1996          | 0.7417    | 0.8990 | 0.8128 | 0.9337   |
| 0.1668        | 3.0   | 2928 | 0.2023          | 0.7373    | 0.9066 | 0.8132 | 0.9369   |
| 0.1447        | 4.0   | 3904 | 0.2125          | 0.7458    | 0.9107 | 0.8200 | 0.9367   |
| 0.1248        | 5.0   | 4880 | 0.2339          | 0.7440    | 0.9090 | 0.8182 | 0.9355   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.10.2+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2