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test_pelby_v2
Rorch/test_pelby_v2
test_pelby_v2 is a automatic speech recognition model from Rorch. 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 20, 2024
- Updated
- Sep 21, 2024
- SHA
- e5b667e2
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. -->
wav2vec2-full_v2
This model is a fine-tuned version of Osolon/wav2vec2-large-xls-r-300m-pl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.2842
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2498 | 0.1241 | 400 | inf | 0.2197 |
| 0.2049 | 0.2481 | 800 | inf | 0.1586 |
| 0.1798 | 0.3722 | 1200 | inf | 0.1380 |
| 0.1527 | 0.4963 | 1600 | inf | 0.1344 |
| 0.1588 | 0.6203 | 2000 | inf | 0.1336 |
| 0.1401 | 0.7444 | 2400 | inf | 0.1168 |
| 0.1336 | 0.8685 | 2800 | inf | 0.1064 |
| 0.1308 | 0.9926 | 3200 | inf | 0.0983 |
| 0.1177 | 1.1166 | 3600 | inf | 0.0911 |
| 0.1261 | 1.2407 | 4000 | inf | 0.0878 |
| 0.2208 | 1.3648 | 4400 | inf | 0.1019 |
| 0.2814 | 1.4888 | 4800 | inf | 0.1836 |
| 0.4642 | 1.6129 | 5200 | inf | 0.2173 |
| 0.6645 | 1.7370 | 5600 | inf | 0.6257 |
| 0.8667 | 1.8610 | 6000 | inf | 0.7893 |
| 0.7724 | 1.9851 | 6400 | inf | 0.7634 |
| 0.6747 | 2.1092 | 6800 | inf | 0.5521 |
| 0.5989 | 2.2333 | 7200 | inf | 0.5029 |
| 0.5234 | 2.3573 | 7600 | inf | 0.4523 |
| 0.4844 | 2.4814 | 8000 | inf | 0.3895 |
| 0.4708 | 2.6055 | 8400 | inf | 0.3319 |
| 0.4701 | 2.7295 | 8800 | inf | 0.2781 |
| 0.4665 | 2.8536 | 9200 | inf | 0.2713 |
| 0.4652 | 2.9777 | 9600 | inf | 0.2844 |
| 0.4539 | 3.1017 | 10000 | inf | 0.2842 |
| 0.4692 | 3.2258 | 10400 | inf | 0.2842 |
| 0.4658 | 3.3499 | 10800 | inf | 0.2842 |
| 0.4602 | 3.4739 | 11200 | inf | 0.2842 |
| 0.4648 | 3.5980 | 11600 | inf | 0.2842 |
| 0.4608 | 3.7221 | 12000 | inf | 0.2842 |
| 0.4677 | 3.8462 | 12400 | inf | 0.2842 |
| 0.4731 | 3.9702 | 12800 | inf | 0.2842 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 20, 2024
- Updated
- Sep 21, 2024