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wav2vec2-base-finetune-vi-v6
foxxy-hm/wav2vec2-base-finetune-vi-v6
wav2vec2-base-finetune-vi-v6 is a automatic speech recognition model from foxxy-hm. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 12, 2023
- Updated
- Dec 22, 2023
- SHA
- 96d13ebf
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. -->
wav2vec2-base-finetune-vi-v6
This model is a fine-tuned version of foxxy-hm/wav2vec2-base-finetune-vi-v6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2240
- Wer: 0.1296
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: 6e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|
| 0.0848 | 1.18 | 500 | 0.1792 | 0.1299 |
| 0.0881 | 2.37 | 1000 | 0.1978 | 0.1322 |
| 0.0789 | 3.55 | 1500 | 0.2050 | 0.1330 |
| 0.0729 | 4.74 | 2000 | 0.2013 | 0.1320 |
| 0.0611 | 5.92 | 2500 | 0.2034 | 0.1334 |
| 0.0597 | 7.11 | 3000 | 0.2116 | 0.1326 |
| 0.0581 | 8.29 | 3500 | 0.2123 | 0.1323 |
| 0.0481 | 9.48 | 4000 | 0.2134 | 0.1310 |
| 0.0507 | 10.66 | 4500 | 0.2222 | 0.1314 |
| 0.0441 | 11.85 | 5000 | 0.2142 | 0.1312 |
| 0.0427 | 13.03 | 5500 | 0.2270 | 0.1302 |
| 0.0402 | 14.22 | 6000 | 0.2212 | 0.1298 |
| 0.0402 | 15.4 | 6500 | 0.2150 | 0.1288 |
| 0.0381 | 16.59 | 7000 | 0.2240 | 0.1294 |
| 0.039 | 17.77 | 7500 | 0.2224 | 0.1286 |
| 0.0383 | 18.96 | 8000 | 0.2240 | 0.1296 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.8.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Sep 12, 2023
- Updated
- Dec 22, 2023