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

# whispQuote-ChunkDQ-DistilBERT

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: 0.2582
- Precision: 0.5816
- Recall: 0.8129
- F1: 0.6780
- Accuracy: 0.9126

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 164  | 0.3432          | 0.4477    | 0.5795 | 0.5052 | 0.8796   |
| No log        | 2.0   | 328  | 0.3053          | 0.4308    | 0.6985 | 0.5329 | 0.8952   |
| No log        | 3.0   | 492  | 0.2602          | 0.5716    | 0.7775 | 0.6588 | 0.9097   |
| 0.3826        | 4.0   | 656  | 0.2607          | 0.5664    | 0.8070 | 0.6656 | 0.9114   |
| 0.3826        | 5.0   | 820  | 0.2582          | 0.5816    | 0.8129 | 0.6780 | 0.9126   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.10.2+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2