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finetuned_Wav2Vec2_on_ATCOSIM
rebeccaforeflight/finetuned_Wav2Vec2_on_ATCOSIM
finetuned_Wav2Vec2_on_ATCOSIM is a automatic speech recognition model from rebeccaforeflight. 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
- Sep 15, 2023
- Updated
- Sep 17, 2023
- SHA
- 4b329cf2
Base models
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. -->
finetuned_Wav2Vec2_on_ATCOSIM
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1707
- Wer: 0.1170
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.6927 | 2.5 | 400 | 0.5557 | 0.4100 |
| 0.3288 | 4.99 | 800 | 0.2382 | 0.1943 |
| 0.1856 | 7.49 | 1200 | 0.1957 | 0.1699 |
| 0.1325 | 9.99 | 1600 | 0.1845 | 0.1572 |
| 0.1018 | 12.48 | 2000 | 0.1771 | 0.1534 |
| 0.0899 | 14.98 | 2400 | 0.1637 | 0.1356 |
| 0.0722 | 17.48 | 2800 | 0.1812 | 0.1409 |
| 0.0596 | 19.98 | 3200 | 0.1747 | 0.1323 |
| 0.046 | 22.47 | 3600 | 0.1505 | 0.1307 |
| 0.037 | 24.97 | 4000 | 0.1705 | 0.1224 |
| 0.0294 | 27.47 | 4400 | 0.1614 | 0.1164 |
| 0.0249 | 29.96 | 4800 | 0.1707 | 0.1170 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 15, 2023
- Updated
- Sep 17, 2023