---
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: abbenedekwhisper-base.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-base.en-finetuning2-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: 6.9927
- Cer: 63.0495
- Wer: 127.1523
- Ser: 100.0
- Cer Clean: 4.3406
- Wer Clean: 7.2848
- Ser Clean: 9.6491

## 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: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer      | Ser   | Cer Clean | Wer Clean | Ser Clean |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
| 7.8089        | 0.11  | 20   | 6.9970          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
| 7.653         | 0.21  | 40   | 6.9963          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
| 7.6425        | 0.32  | 60   | 6.9951          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
| 7.6689        | 0.43  | 80   | 6.9952          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
| 7.6972        | 0.53  | 100  | 6.9927          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |


### Framework versions

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