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whisper-small-derived-hi-2
arun100/whisper-small-derived-hi-2
whisper-small-derived-hi-2 is a automatic speech recognition model from arun100. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jan 22, 2024
- SHA
- 7718fcee
Base models
Model card
From the Hugging Face model README
<!-- 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 Base Bengali
This model is a fine-tuned version of arun100/whisper-small-derived-hi-1 on the mozilla-foundation/common_voice_16_0 hi dataset. It achieves the following results on the evaluation set:
- Loss: 0.1458
- Wer: 9.2881
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: 5e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- 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: 20
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1368 | 1.02 | 100 | 0.1665 | 9.6951 |
| 0.1196 | 2.05 | 200 | 0.1586 | 9.6011 |
| 0.107 | 3.07 | 300 | 0.1538 | 9.4008 |
| 0.1051 | 5.02 | 400 | 0.1504 | 9.3235 |
| 0.0988 | 6.05 | 500 | 0.1486 | 9.4467 |
| 0.0939 | 7.07 | 600 | 0.1474 | 9.4425 |
| 0.0901 | 9.02 | 700 | 0.1464 | 9.3006 |
| 0.0859 | 10.04 | 800 | 0.1459 | 9.4362 |
| 0.0859 | 11.07 | 900 | 0.1458 | 9.2881 |
| 0.0839 | 13.02 | 1000 | 0.1456 | 9.2901 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Jan 22, 2024
- Updated
- Jan 22, 2024