| --- |
| language: |
| - ta |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny Ta - Bharat Ramanathan |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: ta |
| split: test |
| args: ta |
| metrics: |
| - type: wer |
| value: 30.102694404742998 |
| name: Wer |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: google/fleurs |
| type: google/fleurs |
| config: ta_in |
| split: test |
| metrics: |
| - type: wer |
| value: 26.07 |
| 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 Tiny Ta - Bharat Ramanathan |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3096 |
| - Wer: 30.1027 |
|
|
| ## 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 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - training_steps: 10000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.5622 | 0.2 | 1000 | 0.4460 | 41.4141 | |
| | 0.4151 | 0.4 | 2000 | 0.3657 | 35.1390 | |
| | 0.3727 | 0.6 | 3000 | 0.3417 | 33.1723 | |
| | 0.3519 | 0.8 | 4000 | 0.3252 | 31.9497 | |
| | 0.3354 | 1.0 | 5000 | 0.3192 | 31.3997 | |
| | 0.3492 | 0.1 | 6000 | 0.3283 | 31.6966 | |
| | 0.3229 | 0.2 | 7000 | 0.3211 | 31.1339 | |
| | 0.3193 | 0.3 | 8000 | 0.3138 | 30.5161 | |
| | 0.314 | 0.4 | 9000 | 0.3112 | 30.1832 | |
| | 0.3087 | 0.5 | 10000 | 0.3096 | 30.1027 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
|
|
