mms-1b-all-bemgen-combined-train-droctc-gdro-3e-2-dat-5e-1-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: 12.2996
- Cer: 0.0527
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 286.8689 | 1.2690 | 500 | 247.0006 | 0.9359 |
| 36.1192 | 2.5381 | 1000 | 14.3835 | 0.0626 |
| 30.9824 | 3.8071 | 1500 | 13.7055 | 0.0603 |
| 30.3313 | 5.0761 | 2000 | 13.4051 | 0.0585 |
| 29.8046 | 6.3452 | 2500 | 13.0660 | 0.0573 |
| 27.5677 | 7.6142 | 3000 | 12.8192 | 0.0563 |
| 25.4127 | 8.8832 | 3500 | 12.9092 | 0.0570 |
| 26.9972 | 10.1523 | 4000 | 12.8406 | 0.0574 |
| 24.4469 | 11.4213 | 4500 | 12.6555 | 0.0554 |
| 25.0045 | 12.6904 | 5000 | 12.6532 | 0.0549 |
| 23.3332 | 13.9594 | 5500 | 12.6980 | 0.0552 |
| 22.4817 | 15.2284 | 6000 | 12.6626 | 0.0545 |
| 23.2254 | 16.4975 | 6500 | 12.5046 | 0.0540 |
| 24.0542 | 17.7665 | 7000 | 12.4857 | 0.0545 |
| 23.0318 | 19.0355 | 7500 | 12.3897 | 0.0530 |
| 20.7927 | 20.3046 | 8000 | 12.3000 | 0.0527 |
| 19.9905 | 21.5736 | 8500 | 12.3507 | 0.0537 |
| 20.5534 | 22.8426 | 9000 | 12.3648 | 0.0528 |
| 19.0877 | 24.1117 | 9500 | 12.3617 | 0.0533 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.21.4