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hubert2BertMusicwithNewS
nacielo/hubert2BertMusicwithNewS
hubert2BertMusicwithNewS is a automatic speech recognition model from nacielo. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- speech-encoder-decoder
- Access
- Public
- Created
- Aug 17, 2023
- Updated
- Aug 17, 2023
- SHA
- 80503e83
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. -->
hubert2BertMusicwithNewS
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4294
- Rouge1: 26.8823
- Rouge2: 7.1505
- Rougel: 19.9459
- Rougelsum: 19.9017
- Gen Len: 37.3
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.5416 | 1.0 | 1361 | 3.9241 | 29.9096 | 8.607 | 22.4101 | 22.3886 | 49.94 |
| 3.8456 | 2.0 | 2722 | 3.5256 | 28.5203 | 7.5218 | 20.9604 | 20.8949 | 36.84 |
| 3.6709 | 3.0 | 4083 | 3.4294 | 26.8823 | 7.1505 | 19.9459 | 19.9017 | 37.3 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- speech-encoder-decoder
- Created
- Aug 17, 2023
- Updated
- Aug 17, 2023