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_M2
results: []
wav2vec2-large-mms-1b-dzo_M2
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: 0.4519
- Wer: 0.4212
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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.852 | 1.0 | 25 | 5.4081 | 1.0355 |
| 3.2709 | 2.0 | 50 | 2.9079 | 0.9976 |
| 2.0551 | 3.0 | 75 | 1.3991 | 0.7921 |
| 1.2379 | 4.0 | 100 | 0.9750 | 0.6851 |
| 0.9935 | 5.0 | 125 | 0.7704 | 0.5634 |
| 0.8459 | 6.0 | 150 | 0.6053 | 0.4764 |
| 0.7386 | 7.0 | 175 | 0.5166 | 0.4373 |
| 0.6474 | 8.0 | 200 | 0.4519 | 0.4212 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0