|
--- |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- bayartsogt/youtube-mongolian-v1 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-small-mn-6-bayartsogt |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: mn |
|
split: test |
|
args: |
|
language: mn |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 35.8859514966135 |
|
--- |
|
|
|
<!-- 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-small-mn-6 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3296 |
|
- Wer: 35.8860 |
|
- Cer: 13.3108 |
|
|
|
## 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: 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: 500 |
|
- training_steps: 15000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
|
| 0.3774 | 0.8 | 1000 | 0.4319 | 53.2773 | 19.6627 | |
|
| 0.2926 | 1.61 | 2000 | 0.3493 | 40.4960 | 15.0214 | |
|
| 0.2331 | 2.41 | 3000 | 0.3346 | 39.1741 | 14.7689 | |
|
| 0.1636 | 3.22 | 4000 | 0.3287 | 36.9237 | 13.7943 | |
|
| 0.1157 | 4.02 | 5000 | 0.3296 | 35.8860 | 13.3108 | |
|
| 0.1271 | 4.82 | 6000 | 0.3422 | 36.0717 | 13.5702 | |
|
| 0.0879 | 5.63 | 7000 | 0.3661 | 36.6943 | 13.7780 | |
|
| 0.0574 | 6.43 | 8000 | 0.3884 | 36.4595 | 13.5015 | |
|
| 0.036 | 7.23 | 9000 | 0.4128 | 37.1422 | 13.8424 | |
|
| 0.0229 | 8.04 | 10000 | 0.4321 | 36.8582 | 13.8475 | |
|
| 0.0241 | 8.84 | 11000 | 0.4530 | 37.1095 | 13.8673 | |
|
| 0.0123 | 9.65 | 12000 | 0.4763 | 37.5956 | 13.9583 | |
|
| 0.007 | 10.45 | 13000 | 0.4939 | 37.3116 | 13.9360 | |
|
| 0.0047 | 11.25 | 14000 | 0.5054 | 37.1750 | 13.8106 | |
|
| 0.0036 | 12.06 | 15000 | 0.5093 | 37.5082 | 13.8930 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
