89 lines
2.5 KiB
Markdown
89 lines
2.5 KiB
Markdown
|
---
|
||
|
|
license: apache-2.0
|
||
|
|
base_model: openai/whisper-medium
|
||
|
|
tags:
|
||
|
|
- generated_from_trainer
|
||
|
|
datasets:
|
||
|
|
- mozilla-foundation/common_voice_17_0
|
||
|
|
metrics:
|
||
|
|
- wer
|
||
|
|
model-index:
|
||
|
|
- name: whisper-medium-common_voice_17_0-id-10000
|
||
|
|
results:
|
||
|
|
- task:
|
||
|
|
name: Automatic Speech Recognition
|
||
|
|
type: automatic-speech-recognition
|
||
|
|
dataset:
|
||
|
|
name: mozilla-foundation/common_voice_17_0 id
|
||
|
|
type: mozilla-foundation/common_voice_17_0
|
||
|
|
config: id
|
||
|
|
split: None
|
||
|
|
args: id
|
||
|
|
metrics:
|
||
|
|
- name: Wer
|
||
|
|
type: wer
|
||
|
|
value: 0.04241496125110214
|
||
|
|
---
|
||
|
|
|
||
|
|
<!-- 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-common_voice_17_0-id-10000
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_17_0 id dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 0.0574
|
||
|
|
- Wer: 0.0424
|
||
|
|
|
||
|
|
## 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: 16
|
||
|
|
- seed: 42
|
||
|
|
- gradient_accumulation_steps: 2
|
||
|
|
- total_train_batch_size: 32
|
||
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||
|
|
- lr_scheduler_type: linear
|
||
|
|
- lr_scheduler_warmup_steps: 500
|
||
|
|
- training_steps: 10000
|
||
|
|
- mixed_precision_training: Native AMP
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
||
|
|
|:-------------:|:------:|:-----:|:---------------:|:------:|
|
||
|
|
| 0.132 | 0.8457 | 1000 | 0.0963 | 0.0747 |
|
||
|
|
| 0.0503 | 1.6913 | 2000 | 0.0664 | 0.0526 |
|
||
|
|
| 0.023 | 2.5370 | 3000 | 0.0628 | 0.0727 |
|
||
|
|
| 0.011 | 3.3827 | 4000 | 0.0593 | 0.0437 |
|
||
|
|
| 0.0033 | 4.2283 | 5000 | 0.0575 | 0.0407 |
|
||
|
|
| 0.0017 | 5.0740 | 6000 | 0.0574 | 0.0448 |
|
||
|
|
| 0.0013 | 5.9197 | 7000 | 0.0554 | 0.0386 |
|
||
|
|
| 0.002 | 6.7653 | 8000 | 0.0555 | 0.0426 |
|
||
|
|
| 0.0002 | 7.6110 | 9000 | 0.0571 | 0.0421 |
|
||
|
|
| 0.0005 | 8.4567 | 10000 | 0.0574 | 0.0424 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.42.0.dev0
|
||
|
|
- Pytorch 2.3.0+cu121
|
||
|
|
- Datasets 2.19.1
|
||
|
|
- Tokenizers 0.19.1
|