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

# train-test-valid

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2197
- Wer: 73.5930

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer     |
|:-------------:|:--------:|:----:|:---------------:|:-------:|
| 0.0002        | 23.8095  | 1000 | 1.1097          | 77.0127 |
| 0.0001        | 47.6190  | 2000 | 1.1609          | 74.0991 |
| 0.0001        | 71.4286  | 3000 | 1.1919          | 73.0716 |
| 0.0           | 95.2381  | 4000 | 1.2115          | 73.3783 |
| 0.0           | 119.0476 | 5000 | 1.2197          | 73.5930 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1