---
license: apache-2.0
base_model: openai/whisper-small.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: abbenedekwhisper-small.en-finetuning2-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-small.en-finetuning2-D3K

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.0682
- Cer: 53.2554
- Wer: 135.0993
- Ser: 100.0
- Cer Clean: 0.5008
- Wer Clean: 0.6623
- Ser Clean: 1.7544

## 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-08
- train_batch_size: 16
- 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: 5
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer      | Ser   | Cer Clean | Wer Clean | Ser Clean |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
| 7.4342        | 0.05  | 10   | 7.0727          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
| 7.2902        | 0.11  | 20   | 7.0722          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
| 6.9726        | 0.16  | 30   | 7.0711          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
| 7.3598        | 0.21  | 40   | 7.0705          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |
| 7.0578        | 0.27  | 50   | 7.0682          | 53.2554 | 135.0993 | 100.0 | 0.5008    | 0.6623    | 1.7544    |


### Framework versions

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