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torgo_xlsr_finetune_F03
macarious/torgo_xlsr_finetune_F03
torgo_xlsr_finetune_F03 is a automatic speech recognition model from macarious. 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
- wav2vec2
- Access
- Public
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024
- SHA
- f8e395eb
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. -->
torgo_xlsr_finetune_F03
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2366
- Wer: 0.0535
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4672 | 0.85 | 1000 | 3.4147 | 1.0 |
| 2.149 | 1.69 | 2000 | 0.9590 | 0.7064 |
| 0.9304 | 2.54 | 3000 | 0.3999 | 0.3896 |
| 0.6396 | 3.39 | 4000 | 0.2892 | 0.2332 |
| 0.5114 | 4.24 | 5000 | 0.2362 | 0.1701 |
| 0.454 | 5.08 | 6000 | 0.2241 | 0.1468 |
| 0.3899 | 5.93 | 7000 | 0.2356 | 0.0919 |
| 0.3466 | 6.78 | 8000 | 0.2607 | 0.0796 |
| 0.316 | 7.63 | 9000 | 0.2358 | 0.0919 |
| 0.2889 | 8.47 | 10000 | 0.2159 | 0.0617 |
| 0.2476 | 9.32 | 11000 | 0.2129 | 0.0713 |
| 0.2608 | 10.17 | 12000 | 0.1812 | 0.0878 |
| 0.2338 | 11.02 | 13000 | 0.2010 | 0.0631 |
| 0.2302 | 11.86 | 14000 | 0.1623 | 0.0576 |
| 0.2037 | 12.71 | 15000 | 0.2469 | 0.0604 |
| 0.1995 | 13.56 | 16000 | 0.1836 | 0.0562 |
| 0.1668 | 14.41 | 17000 | 0.2070 | 0.0741 |
| 0.1597 | 15.25 | 18000 | 0.2269 | 0.0658 |
| 0.1574 | 16.1 | 19000 | 0.2087 | 0.0713 |
| 0.1397 | 16.95 | 20000 | 0.1998 | 0.0576 |
| 0.1325 | 17.8 | 21000 | 0.1844 | 0.0549 |
| 0.1273 | 18.64 | 22000 | 0.2306 | 0.0535 |
| 0.1204 | 19.49 | 23000 | 0.2366 | 0.0535 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024