language: | |
- ml | |
license: apache-2.0 | |
tags: | |
- whisper-event | |
- generated_from_trainer | |
datasets: | |
- mozilla-foundation/common_voice_11_0 | |
- google/fleurs | |
- thennal/IMaSC | |
- thennal/ulca_ml | |
- thennal/msc | |
- thennal/indic_tts_ml | |
metrics: | |
- wer | |
model-index: | |
- name: Whisper Medium Malayalam - Thennal D K | |
results: | |
- task: | |
type: automatic-speech-recognition | |
name: Automatic Speech Recognition | |
dataset: | |
name: Common Voice 11.0 | |
type: mozilla-foundation/common_voice_11_0 | |
config: ml | |
split: test | |
args: ml | |
metrics: | |
- type: wer | |
value: 38.62068965517241 | |
name: Wer | |
- type: cer | |
value: 7.325639739086803 | |
name: Cer | |
- type: wer | |
value: 11.49 | |
name: WER | |
<!-- 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 Malayalam | |
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset. | |
It achieves the following results on the evaluation set: | |
- WER: 38.6207 | |
- CER: 7.3256 | |
## 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: 16 | |
- 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: 8000 | |
- mixed_precision_training: Native AMP | |
### Framework versions | |
- Transformers 4.26.0.dev0 | |
- Pytorch 1.13.0+cu117 | |
- Datasets 2.7.1.dev0 | |
- Tokenizers 0.13.2 | |