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large_v2_nan_tw_so_short_30s
thomas0104/large_v2_nan_tw_so_short_30s
large_v2_nan_tw_so_short_30s is a automatic speech recognition model from thomas0104. 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
- Jun 13, 2023
- Updated
- Sep 13, 2023
- SHA
- d3f189ba
Base models
Datasets
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. -->
openai/large_v2_nan_tw_so_short_30s
This model is a fine-tuned version of openai/whisper-large-v2 on the thomas0104/nan_tw_soap_opera nan-tw dataset. It achieves the following results on the evaluation set:
- Loss: 1.3322
- Wer: 343.5629
- Cer: 63.42
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.1133 | 1.0 | 1000 | 1.3322 | 343.5629 | 416.4573 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- zh
- Created
- Jun 13, 2023
- Updated
- Sep 13, 2023