mms-1b-ngen
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9158
- Wer: 1.0696
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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 42 | 5.2245 | 1.0059 |
| 83.4246 | 2.0 | 84 | 5.1472 | 1.0207 |
| 79.1451 | 3.0 | 126 | 5.0228 | 1.0585 |
| 82.1059 | 4.0 | 168 | 4.9392 | 1.0681 |
| 75.786 | 4.8997 | 205 | 4.9158 | 1.0696 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.4
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Model tree for stegostegosaur/mms-1b-ngen
Base model
facebook/mms-1b-all