---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-jiaozhu
  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-tiny-jiaozhu

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3116
- Wer: 115.0000

## 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: 50
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.2   | 1    | 3.9843          | 120.0    |
| No log        | 0.4   | 2    | 3.9621          | 120.0    |
| No log        | 0.6   | 3    | 3.9201          | 120.0    |
| No log        | 0.8   | 4    | 3.8624          | 120.0    |
| 3.9419        | 1.0   | 5    | 3.7933          | 120.0    |
| 3.9419        | 1.2   | 6    | 3.7164          | 120.0    |
| 3.9419        | 1.4   | 7    | 3.6329          | 120.0    |
| 3.9419        | 1.6   | 8    | 3.5400          | 120.0    |
| 3.9419        | 1.8   | 9    | 3.4343          | 120.0    |
| 3.5809        | 2.0   | 10   | 3.3116          | 115.0000 |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1