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torgo_xlsr_finetune_M02
macarious/torgo_xlsr_finetune_M02
torgo_xlsr_finetune_M02 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 6, 2024
- Updated
- Mar 6, 2024
- SHA
- e72c43d8
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_M02
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: 1.4526
- Wer: 0.2394
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 |
|---|---|---|---|---|
| 3.5091 | 0.85 | 1000 | 3.2824 | 1.0 |
| 1.6986 | 1.7 | 2000 | 1.6782 | 0.7538 |
| 0.8367 | 2.55 | 3000 | 1.1374 | 0.5772 |
| 0.5881 | 3.4 | 4000 | 1.2548 | 0.4567 |
| 0.5024 | 4.26 | 5000 | 1.1946 | 0.3905 |
| 0.4208 | 5.11 | 6000 | 1.3830 | 0.3939 |
| 0.3647 | 5.96 | 7000 | 1.2722 | 0.3404 |
| 0.3357 | 6.81 | 8000 | 1.1639 | 0.3506 |
| 0.2972 | 7.66 | 9000 | 1.3775 | 0.3192 |
| 0.27 | 8.51 | 10000 | 1.2345 | 0.3200 |
| 0.2532 | 9.36 | 11000 | 1.1760 | 0.3158 |
| 0.2171 | 10.21 | 12000 | 1.3310 | 0.2980 |
| 0.2367 | 11.06 | 13000 | 1.2634 | 0.2912 |
| 0.2086 | 11.91 | 14000 | 1.3451 | 0.2742 |
| 0.2023 | 12.77 | 15000 | 1.4799 | 0.2912 |
| 0.1862 | 13.62 | 16000 | 1.7212 | 0.2869 |
| 0.1698 | 14.47 | 17000 | 1.4304 | 0.2725 |
| 0.1489 | 15.32 | 18000 | 1.6233 | 0.2759 |
| 0.1489 | 16.17 | 19000 | 1.6320 | 0.2657 |
| 0.1552 | 17.02 | 20000 | 1.3667 | 0.2377 |
| 0.1414 | 17.87 | 21000 | 1.5199 | 0.2470 |
| 0.1195 | 18.72 | 22000 | 1.4951 | 0.2368 |
| 0.1303 | 19.57 | 23000 | 1.4526 | 0.2394 |
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 6, 2024
- Updated
- Mar 6, 2024