mms-1b-all-archimob-100
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6713
- Wer: 1.0
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: 32
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 3 | 6.4551 | 1.3270 |
| No log | 2.0 | 6 | 3.6504 | 0.9937 |
| No log | 3.0 | 9 | 4.8854 | 1.0 |
| No log | 4.0 | 12 | 4.6713 | 1.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.10.0a0+0aef44c
- Datasets 2.18.0
- Tokenizers 0.15.2
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