---
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: 0.0772
- Wer: 390.0

## 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: 50
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.9419        | 1.0   | 5    | 3.7933          | 120.0    |
| 3.5809        | 2.0   | 10   | 3.3116          | 115.0000 |
| 2.9392        | 3.0   | 15   | 2.5977          | 115.0000 |
| 2.4416        | 4.0   | 20   | 2.1190          | 100.0    |
| 1.9172        | 5.0   | 25   | 1.5509          | 100.0    |
| 1.3762        | 6.0   | 30   | 1.0480          | 185.0    |
| 0.9056        | 7.0   | 35   | 0.7003          | 6325.0   |
| 0.5587        | 8.0   | 40   | 0.3793          | 3885.0   |
| 0.3094        | 9.0   | 45   | 0.2168          | 3005.0   |
| 0.1747        | 10.0  | 50   | 0.1447          | 2455.0   |
| 0.101         | 11.0  | 55   | 0.1192          | 160.0    |
| 0.0621        | 12.0  | 60   | 0.0981          | 310.0    |
| 0.0389        | 13.0  | 65   | 0.0968          | 300.0    |
| 0.0252        | 14.0  | 70   | 0.0831          | 365.0    |
| 0.0163        | 15.0  | 75   | 0.0837          | 490.0000 |
| 0.0118        | 16.0  | 80   | 0.0790          | 450.0    |
| 0.009         | 17.0  | 85   | 0.0770          | 395.0    |
| 0.0076        | 18.0  | 90   | 0.0772          | 390.0    |
| 0.0069        | 19.0  | 95   | 0.0774          | 390.0    |
| 0.0066        | 20.0  | 100  | 0.0772          | 390.0    |


### Framework versions

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