File size: 2,413 Bytes
236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c 28bae1a 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c d5fe7d2 236bd5c 28bae1a 236bd5c 28bae1a 236bd5c 28bae1a 236bd5c 28bae1a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
---
language:
- id
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Tiny Indonesian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 id
type: mozilla-foundation/common_voice_11_0
config: id
split: test
args: id
metrics:
- name: Wer
type: wer
value: 32.421838974453564
---
<!-- 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 Indonesian
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 id dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6202
- Wer: 32.4218
## 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: 2e-05
- train_batch_size: 64
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3823 | 4.95 | 500 | 0.5251 | 33.4732 |
| 0.0495 | 9.9 | 1000 | 0.5700 | 33.3902 |
| 0.0077 | 14.85 | 1500 | 0.6202 | 32.4218 |
| 0.0031 | 19.8 | 2000 | 0.6616 | 32.5371 |
| 0.0019 | 24.75 | 2500 | 0.6873 | 32.7954 |
| 0.0014 | 29.7 | 3000 | 0.7056 | 33.5700 |
| 0.0011 | 34.65 | 3500 | 0.7204 | 33.7960 |
| 0.0009 | 39.6 | 4000 | 0.7327 | 33.7729 |
| 0.0008 | 44.55 | 4500 | 0.7400 | 33.9113 |
| 0.0007 | 49.5 | 5000 | 0.7428 | 33.3441 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
|