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wav2vec2-large-mms-1b-twi-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: 0.5085
- Wer: 0.4664
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: 0.0003
- train_batch_size: 16
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.6457 | 7.69 | 100 | 1.0843 | 0.8419 |
| 0.7832 | 15.38 | 200 | 0.4796 | 0.5296 |
| 0.5053 | 23.08 | 300 | 0.4547 | 0.4783 |
| 0.4083 | 30.77 | 400 | 0.4349 | 0.4545 |
| 0.3281 | 38.46 | 500 | 0.4467 | 0.4506 |
| 0.276 | 46.15 | 600 | 0.4482 | 0.4427 |
| 0.2269 | 53.85 | 700 | 0.4847 | 0.4664 |
| 0.2081 | 61.54 | 800 | 0.4704 | 0.4150 |
| 0.1974 | 69.23 | 900 | 0.5047 | 0.4506 |
| 0.1695 | 76.92 | 1000 | 0.5142 | 0.4625 |
| 0.1642 | 84.62 | 1100 | 0.5028 | 0.4625 |
| 0.159 | 92.31 | 1200 | 0.5085 | 0.4664 |
| 0.1581 | 100.0 | 1300 | 0.5085 | 0.4664 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
