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w2v2-base-pretrained_lr5e-5_at0.4_da1
MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.4_da1
w2v2-base-pretrained_lr5e-5_at0.4_da1 is a automatic speech recognition model from MelanieKoe. 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
- Apr 2, 2024
- Updated
- Apr 17, 2024
- SHA
- bd064d36
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. -->
w2v2-base-pretrained_lr5e-5_at0.4_da1
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4372
- Wer: 0.1666
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: 5e-05
- train_batch_size: 32
- 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
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 18.4042 | 4.03 | 250 | 4.2497 | 1.0 |
| 3.3741 | 8.06 | 500 | 3.2004 | 1.0 |
| 3.1004 | 12.1 | 750 | 3.1159 | 1.0 |
| 2.3298 | 16.13 | 1000 | 1.0486 | 0.7809 |
| 0.5044 | 20.16 | 1250 | 0.6083 | 0.3464 |
| 0.27 | 24.19 | 1500 | 0.6948 | 0.2456 |
| 0.1833 | 28.23 | 1750 | 0.9908 | 0.1956 |
| 0.1324 | 32.26 | 2000 | 1.0134 | 0.1995 |
| 0.1027 | 36.29 | 2250 | 1.3176 | 0.1760 |
| 0.0852 | 40.32 | 2500 | 1.1929 | 0.1837 |
| 0.0703 | 44.35 | 2750 | 1.3824 | 0.1670 |
| 0.0601 | 48.39 | 3000 | 1.3337 | 0.1674 |
| 0.0546 | 52.42 | 3250 | 1.3566 | 0.1717 |
| 0.05 | 56.45 | 3500 | 1.4653 | 0.1670 |
| 0.046 | 60.48 | 3750 | 1.4321 | 0.1696 |
| 0.0452 | 64.52 | 4000 | 1.4372 | 0.1666 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 2, 2024
- Updated
- Apr 17, 2024