mms-1b-lozgen-combined-model-test
This model is a fine-tuned version of facebook/mms-1b-all on the LOZGEN - LOZ dataset. It achieves the following results on the evaluation set:
- Loss: 2.3262
- Wer: 0.9110
Model description
More information needed
Intended uses & limitations
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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: 4
- eval_batch_size: 4
- seed: 42
- 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: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.6301 | 0.4065 | 100 | 3.1183 | 0.9773 |
| 2.6968 | 0.8130 | 200 | 2.3937 | 0.8947 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for csikasote/mms-1b-lozgen-combined-model-test
Base model
facebook/mms-1b-all