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---
language:
- yue
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper medium 12
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 medium 12
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3270
- Cer: 42.0122
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 8000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8931 | 1.52 | 1000 | 1.0926 | 48.9439 |
| 0.3041 | 3.03 | 2000 | 1.1069 | 49.5474 |
| 0.1319 | 4.55 | 3000 | 1.1925 | 45.4016 |
| 0.0324 | 6.06 | 4000 | 1.2592 | 44.3186 |
| 0.0245 | 7.58 | 5000 | 1.3014 | 44.2359 |
| 0.0061 | 9.09 | 6000 | 1.3185 | 43.3472 |
| 0.0031 | 10.61 | 7000 | 1.3266 | 42.2767 |
| 0.0007 | 12.12 | 8000 | 1.3270 | 42.0122 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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