mms-1b-all-bemgen-combined-train-drodat-gdro-1.65e-4-dat-0.019-no-sd-0.00-42
This model is a fine-tuned version of facebook/mms-1b-all on the BEMGEN - BEM dataset. It achieves the following results on the evaluation set:
- Loss: 12.2430
- Cer: 0.0530
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 268.2696 | 0.6349 | 500 | 264.2914 | 0.9222 |
| 30.1189 | 1.2692 | 1000 | 14.7193 | 0.0653 |
| 30.1291 | 1.9041 | 1500 | 13.8787 | 0.0617 |
| 27.8786 | 2.5384 | 2000 | 13.6126 | 0.0603 |
| 24.8185 | 3.1727 | 2500 | 13.6259 | 0.0594 |
| 25.3736 | 3.8076 | 3000 | 13.1907 | 0.0581 |
| 24.9214 | 4.4419 | 3500 | 13.3854 | 0.0569 |
| 25.3807 | 5.0762 | 4000 | 12.8844 | 0.0563 |
| 22.826 | 5.7111 | 4500 | 12.7335 | 0.0559 |
| 21.8196 | 6.3454 | 5000 | 12.8145 | 0.0554 |
| 21.9892 | 6.9803 | 5500 | 12.8158 | 0.0555 |
| 20.2641 | 7.6146 | 6000 | 12.5432 | 0.0544 |
| 21.3521 | 8.2489 | 6500 | 12.7404 | 0.0548 |
| 19.4366 | 8.8838 | 7000 | 12.5614 | 0.0543 |
| 20.0923 | 9.5181 | 7500 | 12.2429 | 0.0530 |
| 18.2857 | 10.1524 | 8000 | 12.4929 | 0.0538 |
| 19.1447 | 10.7873 | 8500 | 12.2578 | 0.0525 |
| 18.0904 | 11.4216 | 9000 | 12.5402 | 0.0530 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.21.4