---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-translate-zh-v0.1-lt
  results: []
---

# whisper-large-v3-translate-zh-v0.1-lt

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3).

## Model description

3500小时音声数据微调, 翻译模式直出中文

## Usage

task='translate'
language='ja'

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Cer    | Validation Loss | Wer    |
|:-------------:|:------:|:-----:|:------:|:---------------:|:------:|
| 2.1282        | 0.0739 | 1000  | 2.1852 | 1.9014          | 4.4904 |
| 1.8567        | 0.1478 | 2000  | 1.8366 | 1.7295          | 3.8716 |
| 1.6968        | 0.2217 | 3000  | 1.2615 | 1.6279          | 2.4825 |
| 1.6264        | 0.2956 | 4000  | 1.0536 | 1.5625          | 1.8101 |
| 1.5687        | 0.3695 | 5000  | 1.0932 | 1.5410          | 2.1218 |
| 1.531         | 0.4433 | 6000  | 1.5156 | 1.2533          | 2.3689 |
| 1.4875        | 0.5172 | 7000  | 1.4697 | 0.9560          | 1.5588 |
| 1.4518        | 0.5911 | 8000  | 1.4521 | 1.0170          | 1.6392 |
| 1.4472        | 0.6650 | 9000  | 1.4463 | 1.0084          | 1.6420 |
| 1.3991        | 0.7389 | 10000 | 1.4238 | 0.9266          | 1.6992 |
| 1.4266        | 0.8128 | 11000 | 1.4141 | 0.8365          | 1.3056 |
| 1.3755        | 0.8867 | 12000 | 1.4033 | 0.7904          | 1.3119 |
| 1.3833        | 0.9606 | 13000 | 1.4004 | 0.8600          | 1.3333 |
| 1.3224        | 1.0345 | 14000 | 1.3770 | 0.8243          | 1.4560 |
| 1.3295        | 1.1084 | 15000 | 1.3770 | 0.7852          | 1.4298 |
| 1.3136        | 1.1823 | 16000 | 1.3564 | 0.7176          | 1.1826 |
| 1.2832        | 1.2561 | 17000 | 1.3535 | 0.6767          | 1.1781 |
| 1.2917        | 1.3300 | 18000 | 1.3584 | 0.7255          | 1.1218 |
| 1.27          | 1.4039 | 19000 | 1.3330 | 0.6590          | 1.1242 |
| 1.2704        | 1.4778 | 20000 | 1.3379 | 0.6934          | 1.1944 |
| 1.2614        | 1.5517 | 21000 | 1.3330 | 0.6949          | 1.1820 |
| 1.2455        | 1.6256 | 22000 | 1.3350 | 0.6931          | 1.0892 |
| 1.2475        | 1.6995 | 23000 | 1.3154 | 0.6662          | 1.1576 |
| 1.2583        | 1.7734 | 24000 | 1.3164 | 0.6490          | 1.0705 |
| 1.2333        | 1.8473 | 25000 | 1.3184 | 0.6833          | 1.1480 |
| 1.2462        | 1.9212 | 26000 | 1.3125 | 0.6672          | 1.1612 |
| 1.2279        | 1.9950 | 27000 | 1.3047 | 0.6644          | 1.2179 |
| 1.1908        | 2.0689 | 28000 | 1.3047 | 0.6938          | 1.2221 |
| 1.1831        | 2.1428 | 29000 | 1.2998 | 0.6316          | 1.0717 |
| 1.1705        | 2.2167 | 30000 | 1.3018 | 0.6165          | 1.0958 |
| 1.171         | 2.2906 | 31000 | 1.3027 | 0.6109          | 1.0868 |
| 1.1567        | 2.3645 | 32000 | 1.3037 | 0.6485          | 1.1736 |
| 1.1705        | 2.4384 | 33000 | 1.2969 | 0.6078          | 1.0515 |
| 1.1819        | 2.5123 | 34000 | 1.2949 | 0.6158          | 1.0362 |
| 1.1447        | 2.5862 | 35000 | 1.2920 | 0.6365          | 1.0558 |
| 1.17          | 2.6601 | 36000 | 1.2881 | 0.6339          | 1.0868 |
| 1.1495        | 2.7340 | 37000 | 1.2949 | 0.6297          | 1.0437 |
| 1.1395        | 2.8078 | 38000 | 1.2900 | 0.6285          | 1.1221 |
| 1.15          | 2.8817 | 39000 | 1.2891 | 0.5997          | 1.0217 |
| 1.1623        | 2.9556 | 40000 | 1.2881 | 0.6085          | 1.0395 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1