metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-all-sw-CV_Fleurs_AMMI_ALFFA-20hrs-v1
results: []
mms-1b-all-sw-CV_Fleurs_AMMI_ALFFA-20hrs-v1
This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
- Wer: 0.2229
- Cer: 0.0780
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: 5e-05
- 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: 100
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Val Cer | Val Wer |
|---|---|---|---|---|
| 5.4496 | 1.0 | 756 | 0.1056 | 0.3067 |
| 0.595 | 2.0 | 1512 | 0.0857 | 0.2488 |
| 0.493 | 3.0 | 2268 | 0.0832 | 0.2436 |
| 0.4618 | 4.0 | 3024 | 0.0818 | 0.2403 |
| 0.4422 | 5.0 | 3780 | 0.0809 | 0.2366 |
| 0.4307 | 6.0 | 4536 | 0.0804 | 0.2359 |
| 0.4236 | 7.0 | 5292 | 0.0798 | 0.2351 |
| 0.4153 | 8.0 | 6048 | 0.0796 | 0.2348 |
| 0.4082 | 9.0 | 6804 | 0.0789 | 0.2329 |
| 0.4067 | 10.0 | 7560 | 0.0787 | 0.2339 |
| 0.4002 | 11.0 | 8316 | 0.0784 | 0.2329 |
| 0.3966 | 12.0 | 9072 | 0.0781 | 0.2328 |
| 0.3905 | 13.0 | 9828 | 0.0784 | 0.2327 |
| 0.3865 | 14.0 | 10584 | 0.0778 | 0.2318 |
| 0.3819 | 15.0 | 11340 | 0.0777 | 0.2320 |
| 0.3768 | 16.0 | 12096 | 0.0777 | 0.2317 |
| 0.3716 | 17.0 | 12852 | 0.0770 | 0.2299 |
| 0.3698 | 18.0 | 13608 | 0.0771 | 0.2284 |
| 0.3647 | 19.0 | 14364 | 0.0769 | 0.2279 |
| 0.3651 | 20.0 | 15120 | 0.0769 | 0.2297 |
| 0.361 | 21.0 | 15876 | 0.0769 | 0.2284 |
| 0.3559 | 22.0 | 16632 | 0.0781 | 0.2298 |
| 0.3576 | 23.0 | 17388 | 0.0793 | 0.2314 |
| 0.3486 | 24.0 | 18144 | 0.0761 | 0.2258 |
| 0.3486 | 25.0 | 18900 | 0.0787 | 0.2304 |
| 0.3455 | 26.0 | 19656 | 0.0769 | 0.2271 |
| 0.3451 | 27.0 | 20412 | 0.0767 | 0.2256 |
| 0.3409 | 28.0 | 21168 | 0.0767 | 0.2247 |
| 0.3394 | 29.0 | 21924 | 0.0802 | 0.2297 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0