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torgo_xlsr_finetune_M04_old
macarious/torgo_xlsr_finetune_M04_old
torgo_xlsr_finetune_M04_old 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 24, 2024
- Updated
- Jan 24, 2024
- SHA
- e87cf411
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_M04
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: 1.6944
- Wer: 0.2951
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 |
|---|---|---|---|---|
| 3.5657 | 0.75 | 1000 | 3.3394 | 1.0 |
| 1.6728 | 1.5 | 2000 | 2.0240 | 0.8222 |
| 0.8728 | 2.25 | 3000 | 1.6539 | 0.6160 |
| 0.6675 | 3.0 | 4000 | 1.6387 | 0.5754 |
| 0.5636 | 3.75 | 5000 | 1.6527 | 0.5277 |
| 0.4598 | 4.5 | 6000 | 1.6385 | 0.4130 |
| 0.3835 | 5.25 | 7000 | 1.5931 | 0.4311 |
| 0.3881 | 6.0 | 8000 | 1.1019 | 0.3776 |
| 0.3276 | 6.75 | 9000 | 1.4476 | 0.4317 |
| 0.3099 | 7.5 | 10000 | 1.5607 | 0.3885 |
| 0.2973 | 8.25 | 11000 | 1.5421 | 0.3338 |
| 0.2961 | 9.0 | 12000 | 1.6224 | 0.3802 |
| 0.2702 | 9.74 | 13000 | 1.9051 | 0.3563 |
| 0.2437 | 10.49 | 14000 | 1.8258 | 0.3789 |
| 0.2226 | 11.24 | 15000 | 1.5751 | 0.3351 |
| 0.2059 | 11.99 | 16000 | 1.5211 | 0.3260 |
| 0.2244 | 12.74 | 17000 | 1.3021 | 0.3196 |
| 0.1904 | 13.49 | 18000 | 1.8146 | 0.3557 |
| 0.2026 | 14.24 | 19000 | 1.6795 | 0.3305 |
| 0.1696 | 14.99 | 20000 | 1.4434 | 0.2990 |
| 0.1753 | 15.74 | 21000 | 1.5751 | 0.2957 |
| 0.1648 | 16.49 | 22000 | 1.7432 | 0.3048 |
| 0.1364 | 17.24 | 23000 | 1.8501 | 0.3267 |
| 0.1499 | 17.99 | 24000 | 1.6999 | 0.3048 |
| 0.1452 | 18.74 | 25000 | 1.7274 | 0.2970 |
| 0.1367 | 19.49 | 26000 | 1.6944 | 0.2951 |
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 24, 2024
- Updated
- Jan 24, 2024