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-ngn-on-bam-17122024
results: []
wav2vec2-large-mms-1b-ngn-on-bam-17122024
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: 13.3362
- Wer: 0.9984
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 49.1683 | 0.2632 | 10 | 41.9386 | 1.4812 |
| 42.0061 | 0.5263 | 20 | 40.4597 | 1.6168 |
| 40.2869 | 0.7895 | 30 | 37.6978 | 1.7132 |
| 35.1294 | 1.0526 | 40 | 33.5613 | 1.6152 |
| 28.9708 | 1.3158 | 50 | 28.0153 | 1.3113 |
| 25.4906 | 1.5789 | 60 | 20.8692 | 1.0637 |
| 18.3476 | 1.8421 | 70 | 13.3362 | 0.9984 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0