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6e-5_4000eval
jadorantes2/6e-5_4000eval
6e-5_4000eval is a automatic speech recognition model from jadorantes2. 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
- Jul 27, 2024
- Updated
- Jul 27, 2024
- SHA
- 67826233
Base models
Datasets
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. -->
6e-5_4000eval
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the ami dataset. It achieves the following results on the evaluation set:
- Loss: 0.8508
- Wer: 0.2471
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: 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 |
|---|---|---|---|---|
| No log | 7.5758 | 250 | 5.4590 | 0.9995 |
| 9.3761 | 15.1515 | 500 | 3.7020 | 0.9995 |
| 9.3761 | 22.7273 | 750 | 3.0706 | 0.9995 |
| 3.2176 | 30.3030 | 1000 | 3.0517 | 0.9995 |
| 3.2176 | 37.8788 | 1250 | 1.8920 | 0.7721 |
| 2.0444 | 45.4545 | 1500 | 1.3641 | 0.3488 |
| 2.0444 | 53.0303 | 1750 | 1.1031 | 0.2779 |
| 0.8363 | 60.6061 | 2000 | 1.1269 | 0.2679 |
| 0.8363 | 68.1818 | 2250 | 1.0291 | 0.2656 |
| 0.6824 | 75.7576 | 2500 | 0.9712 | 0.2629 |
| 0.6824 | 83.3333 | 2750 | 0.8902 | 0.2619 |
| 0.5956 | 90.9091 | 3000 | 0.8432 | 0.2441 |
| 0.5956 | 98.4848 | 3250 | 0.8714 | 0.2485 |
| 0.4071 | 106.0606 | 3500 | 0.8222 | 0.2478 |
| 0.4071 | 113.6364 | 3750 | 0.8398 | 0.2501 |
| 0.4479 | 121.2121 | 4000 | 0.8508 | 0.2471 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024