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Whisper_medium_ro_VladS_2000_steps_multi_gpu_26_02_2024
VladS159/Whisper_medium_ro_VladS_2000_steps_multi_gpu_26_02_2024
Whisper_medium_ro_VladS_2000_steps_multi_gpu_26_02_2024 is a automatic speech recognition model from VladS159. 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
- Feb 26, 2024
- Updated
- Feb 26, 2024
- SHA
- 14796070
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 Medium Ro - Sarbu Vlad - multi gpu
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 16.1 + Romanian speech synthesis dataset. It achieves the following results on the evaluation set:
- Loss: 0.0807
- Wer: 8.3506
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: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 30
- total_eval_batch_size: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1753 | 0.22 | 250 | 0.1553 | 14.6629 |
| 0.1227 | 0.43 | 500 | 0.1203 | 11.8855 |
| 0.1286 | 0.65 | 750 | 0.1053 | 10.8999 |
| 0.1129 | 0.86 | 1000 | 0.0969 | 10.4557 |
| 0.051 | 1.08 | 1250 | 0.0882 | 9.1050 |
| 0.0589 | 1.3 | 1500 | 0.0851 | 9.0138 |
| 0.05 | 1.51 | 1750 | 0.0832 | 8.7795 |
| 0.0492 | 1.73 | 2000 | 0.0807 | 8.3506 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ro
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024