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---
language:
- ml
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- thennal/imasc
metrics:
- wer
model-index:
- name: Whisper Small Ml - IMaSC
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: ICFOSS Malayalam Speech Corpus
type: thennal/imasc
config: ml
split: test
args: ml
metrics:
- name: Wer
type: wer
value: 10.945945945945947
---
# Whisper Small Ml - IMaSC
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [ICFOSS Malayalam Speech Corpus](https://huggingface.co/datasets/thennal/IMaSC) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0244
- Wer: 10.9459
- Cer: 1.7890
## 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: 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: 4000
- 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
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