---
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: abbenedekwhisper-base.en-finetuned-D3K
  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. -->

# abbenedekwhisper-base.en-finetuned-D3K

This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5119
- Cer: 21.9254
- Wer: 27.8146
- Ser: 16.6667

## 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: 1e-06
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer     | Ser     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|
| 7.7093        | 0.21  | 20   | 6.8991          | 20.3673 | 29.4702 | 28.9474 |
| 6.8825        | 0.43  | 40   | 5.5765          | 25.0417 | 35.0993 | 30.7018 |
| 5.2019        | 0.64  | 60   | 4.4037          | 30.4953 | 41.7219 | 34.2105 |
| 3.8746        | 0.85  | 80   | 3.3761          | 33.5559 | 45.0331 | 32.4561 |
| 2.9591        | 1.06  | 100  | 2.7073          | 32.1091 | 43.0464 | 30.7018 |
| 2.2502        | 1.28  | 120  | 2.2711          | 33.3890 | 44.3709 | 30.7018 |
| 1.8478        | 1.49  | 140  | 1.9790          | 31.4413 | 41.0596 | 27.1930 |
| 1.6338        | 1.7   | 160  | 1.8207          | 32.2204 | 42.0530 | 26.3158 |
| 1.5065        | 1.91  | 180  | 1.7257          | 26.4329 | 34.4371 | 20.1754 |
| 1.3667        | 2.13  | 200  | 1.6645          | 24.5965 | 31.4570 | 19.2982 |
| 1.2807        | 2.34  | 220  | 1.6155          | 24.8191 | 31.7881 | 20.1754 |
| 1.2212        | 2.55  | 240  | 1.5851          | 26.2104 | 33.4437 | 21.0526 |
| 1.2299        | 2.77  | 260  | 1.5669          | 24.4853 | 31.4570 | 19.2982 |
| 1.1623        | 2.98  | 280  | 1.5543          | 23.0940 | 29.8013 | 18.4211 |
| 1.1275        | 3.19  | 300  | 1.5421          | 23.0940 | 29.8013 | 18.4211 |
| 1.1304        | 3.4   | 320  | 1.5320          | 23.5392 | 29.8013 | 18.4211 |
| 1.1113        | 3.62  | 340  | 1.5236          | 21.9254 | 27.8146 | 16.6667 |
| 1.1189        | 3.83  | 360  | 1.5168          | 21.9254 | 27.8146 | 16.6667 |
| 1.1134        | 4.04  | 380  | 1.5134          | 21.9254 | 27.8146 | 16.6667 |
| 1.097         | 4.26  | 400  | 1.5119          | 21.9254 | 27.8146 | 16.6667 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2