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torgo_xlsr_finetune_M01_keep_all
macarious/torgo_xlsr_finetune_M01_keep_all
torgo_xlsr_finetune_M01_keep_all 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
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- c3d2599f
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_M01_keep_all
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: 1.4135
- Wer: 0.2436
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 |
|---|---|---|---|---|
| 3.5955 | 0.56 | 1000 | 3.3189 | 1.0 |
| 2.8346 | 1.11 | 2000 | 2.3479 | 0.9970 |
| 1.1249 | 1.67 | 3000 | 1.3541 | 0.6641 |
| 0.7802 | 2.23 | 4000 | 1.5194 | 0.5856 |
| 0.6145 | 2.79 | 5000 | 1.4507 | 0.5063 |
| 0.535 | 3.34 | 6000 | 1.4502 | 0.4964 |
| 0.5027 | 3.9 | 7000 | 1.4042 | 0.4167 |
| 0.4289 | 4.46 | 8000 | 1.4100 | 0.4091 |
| 0.4027 | 5.02 | 9000 | 1.3281 | 0.3538 |
| 0.3501 | 5.57 | 10000 | 1.5689 | 0.3862 |
| 0.3202 | 6.13 | 11000 | 1.2194 | 0.3416 |
| 0.3159 | 6.69 | 12000 | 1.3865 | 0.3366 |
| 0.2933 | 7.25 | 13000 | 1.3632 | 0.3222 |
| 0.2748 | 7.8 | 14000 | 1.6112 | 0.3408 |
| 0.2666 | 8.36 | 15000 | 1.5043 | 0.3267 |
| 0.2578 | 8.92 | 16000 | 1.3961 | 0.2974 |
| 0.2589 | 9.48 | 17000 | 1.1875 | 0.2939 |
| 0.2389 | 10.03 | 18000 | 1.3837 | 0.3100 |
| 0.2531 | 10.59 | 19000 | 1.3161 | 0.2978 |
| 0.2132 | 11.15 | 20000 | 1.3118 | 0.2848 |
| 0.1979 | 11.71 | 21000 | 1.3639 | 0.3012 |
| 0.1912 | 12.26 | 22000 | 1.4812 | 0.2798 |
| 0.2104 | 12.82 | 23000 | 1.4553 | 0.2642 |
| 0.1711 | 13.38 | 24000 | 1.3557 | 0.2592 |
| 0.2064 | 13.94 | 25000 | 1.3746 | 0.2737 |
| 0.1764 | 14.49 | 26000 | 1.3845 | 0.2665 |
| 0.1706 | 15.05 | 27000 | 1.3203 | 0.2570 |
| 0.1601 | 15.61 | 28000 | 1.4216 | 0.2592 |
| 0.1589 | 16.16 | 29000 | 1.3192 | 0.2440 |
| 0.15 | 16.72 | 30000 | 1.3713 | 0.2585 |
| 0.1464 | 17.28 | 31000 | 1.4574 | 0.2577 |
| 0.159 | 17.84 | 32000 | 1.3796 | 0.2516 |
| 0.1336 | 18.39 | 33000 | 1.4397 | 0.2474 |
| 0.1423 | 18.95 | 34000 | 1.3613 | 0.2459 |
| 0.1081 | 19.51 | 35000 | 1.4135 | 0.2436 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024