---
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base_trained
  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. -->

# whisper-base_trained

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5384
- Wer: 150.0

## 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-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer   |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 2.5874        | 4.0   | 6    | 2.2372          | 150.0 |
| 1.1083        | 8.0   | 12   | 1.4557          | 150.0 |
| 0.6359        | 12.0  | 18   | 1.0874          | 150.0 |
| 0.2396        | 16.0  | 24   | 0.8668          | 200.0 |
| 0.056         | 20.0  | 30   | 0.7220          | 150.0 |
| 0.0147        | 24.0  | 36   | 0.6112          | 200.0 |
| 0.0055        | 28.0  | 42   | 0.5606          | 200.0 |
| 0.0037        | 32.0  | 48   | 0.5384          | 150.0 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1