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wav2vec2-large-mms-1b-chich-colab
This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.6583
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: 0.001
- train_batch_size: 8
- 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: 100
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.9371 | 0.44 | 100 | inf | 0.7521 |
| 1.4647 | 0.88 | 200 | inf | 0.7314 |
| 1.2928 | 1.32 | 300 | inf | 0.7388 |
| 1.3529 | 1.75 | 400 | inf | 0.7320 |
| 1.1927 | 2.19 | 500 | inf | 0.6984 |
| 1.34 | 2.63 | 600 | inf | 0.6992 |
| 1.2707 | 3.07 | 700 | inf | 0.6922 |
| 1.105 | 3.51 | 800 | inf | 0.7185 |
| 1.1334 | 3.95 | 900 | inf | 0.6838 |
| 1.0915 | 4.39 | 1000 | inf | 0.6751 |
| 1.133 | 4.82 | 1100 | inf | 0.6934 |
| 1.1295 | 5.26 | 1200 | inf | 0.6752 |
| 1.0214 | 5.7 | 1300 | inf | 0.6700 |
| 0.9687 | 6.14 | 1400 | inf | 0.6692 |
| 1.0553 | 6.58 | 1500 | inf | 0.6664 |
| 0.9686 | 7.02 | 1600 | inf | 0.6618 |
| 0.9565 | 7.46 | 1700 | inf | 0.6605 |
| 1.001 | 7.89 | 1800 | inf | 0.6583 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
