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torgo_xlsr_finetune_M05_old
macarious/torgo_xlsr_finetune_M05_old
torgo_xlsr_finetune_M05_old 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
- Feb 2, 2024
- Updated
- Feb 3, 2024
- SHA
- f10220d6
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_M05
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7932
- Wer: 0.3577
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 |
|---|---|---|---|---|
| 3.5534 | 0.99 | 1000 | 3.4455 | 1.0 |
| 2.3481 | 1.98 | 2000 | 1.8194 | 0.8971 |
| 0.9664 | 2.97 | 3000 | 1.2685 | 0.6818 |
| 0.672 | 3.96 | 4000 | 1.3412 | 0.6112 |
| 0.5432 | 4.96 | 5000 | 1.4455 | 0.5275 |
| 0.4393 | 5.95 | 6000 | 1.3948 | 0.4761 |
| 0.3761 | 6.94 | 7000 | 1.8967 | 0.4785 |
| 0.3474 | 7.93 | 8000 | 1.5481 | 0.4545 |
| 0.309 | 8.92 | 9000 | 1.7275 | 0.4354 |
| 0.284 | 9.91 | 10000 | 1.9297 | 0.4438 |
| 0.2582 | 10.9 | 11000 | 1.4894 | 0.3971 |
| 0.2426 | 11.89 | 12000 | 1.6811 | 0.3840 |
| 0.2406 | 12.88 | 13000 | 1.7411 | 0.3935 |
| 0.2281 | 13.88 | 14000 | 1.7894 | 0.3732 |
| 0.1874 | 14.87 | 15000 | 1.7728 | 0.3864 |
| 0.1918 | 15.86 | 16000 | 2.0315 | 0.3768 |
| 0.1693 | 16.85 | 17000 | 1.7024 | 0.3672 |
| 0.1551 | 17.84 | 18000 | 1.7620 | 0.3684 |
| 0.1645 | 18.83 | 19000 | 1.7186 | 0.3696 |
| 0.1527 | 19.82 | 20000 | 1.7932 | 0.3577 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 2, 2024
- Updated
- Feb 3, 2024