transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer dataset:audiofolder base_model:openai/whisper-tiny license:apache-2.0 model-index endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: nr-whisper-tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: audiofolder
      type: audiofolder
      config: default
      split: test
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 400.0
---

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# nr-whisper-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0791
- Wer: 400.0

## 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: 16
- eval_batch_size: 8
- 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: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer   |
|:-------------:|:------:|:----:|:---------------:|:-----:|
| 0.1814        | 100.0  | 100  | 1.2428          | 200.0 |
| 0.0001        | 200.0  | 200  | 1.0974          | 200.0 |
| 0.0           | 300.0  | 300  | 1.0920          | 300.0 |
| 0.0           | 400.0  | 400  | 1.0876          | 400.0 |
| 0.0           | 500.0  | 500  | 1.0842          | 400.0 |
| 0.0           | 600.0  | 600  | 1.0816          | 400.0 |
| 0.0           | 700.0  | 700  | 1.0803          | 400.0 |
| 0.0           | 800.0  | 800  | 1.0799          | 400.0 |
| 0.0           | 900.0  | 900  | 1.0793          | 400.0 |
| 0.0           | 1000.0 | 1000 | 1.0791          | 400.0 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
