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: wav2vec2-large-mms-1b-dzo_M5
results: []
wav2vec2-large-mms-1b-dzo_M5
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:
- Loss: 0.2842
- Wer: 0.3115
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: 0.004
- train_batch_size: 8
- eval_batch_size: 8
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.869 | 1.0 | 32 | 5.7328 | 1.0578 |
| 3.1799 | 2.0 | 64 | 2.5788 | 0.9945 |
| 1.1289 | 3.0 | 96 | 0.8093 | 0.5926 |
| 0.743 | 4.0 | 128 | 0.6091 | 0.5035 |
| 0.6609 | 5.0 | 160 | 0.5270 | 0.4642 |
| 0.6302 | 6.0 | 192 | 0.4892 | 0.4301 |
| 0.6035 | 7.0 | 224 | 0.4419 | 0.4013 |
| 0.5367 | 8.0 | 256 | 0.4096 | 0.3844 |
| 0.5291 | 9.0 | 288 | 0.4008 | 0.3883 |
| 0.4851 | 10.0 | 320 | 0.3602 | 0.3634 |
| 0.4994 | 11.0 | 352 | 0.3457 | 0.3532 |
| 0.4523 | 12.0 | 384 | 0.3314 | 0.3514 |
| 0.4884 | 13.0 | 416 | 0.3278 | 0.3414 |
| 0.4278 | 14.0 | 448 | 0.3323 | 0.3471 |
| 0.4011 | 14.5397 | 465 | 0.2842 | 0.3115 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0