| --- |
| language: |
| - mr |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny Marathi |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: mr |
| split: test |
| args: mr |
| metrics: |
| - name: Wer |
| type: wer |
| value: 41.645121785276906 |
| --- |
| |
| <!-- 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 Marathi |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4618 |
| - Wer: 41.6451 |
|
|
| ## 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: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 1600 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.6182 | 0.95 | 200 | 0.6224 | 53.6706 | |
| | 0.4364 | 1.9 | 400 | 0.5200 | 47.2071 | |
| | 0.3668 | 2.84 | 600 | 0.4830 | 44.4890 | |
| | 0.294 | 3.79 | 800 | 0.4671 | 42.8562 | |
| | 0.2729 | 4.74 | 1000 | 0.4642 | 42.1214 | |
| | 0.2401 | 5.69 | 1200 | 0.4614 | 41.6996 | |
| | 0.2212 | 6.64 | 1400 | 0.4618 | 41.7778 | |
| | 0.2093 | 7.58 | 1600 | 0.4618 | 41.6451 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
| |
