metadata
license: cc-by-nc-4.0
base_model: facebook/mms-1b-l1107
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-mms-1b-l1107-mus-asr-10m
results: []
wav2vec2-mms-1b-l1107-mus-asr-10m
This model is a fine-tuned version of facebook/mms-1b-l1107 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4432
- Wer: 0.4844
- Cer: 0.1329
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.4
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 4.0 | 108 | 3.4128 | 1.0 | 1.0 |
| No log | 5.0 | 135 | 3.2507 | 1.0 | 1.0 |
| No log | 6.0 | 162 | 2.9310 | 1.0 | 0.3287 |
| No log | 7.0 | 189 | 2.3864 | 0.875 | 0.1958 |
| 5.6606 | 8.0 | 216 | 2.5689 | 0.7188 | 0.1772 |
| 5.6606 | 9.0 | 243 | 2.2867 | 0.625 | 0.1655 |
| 5.6606 | 10.0 | 270 | 2.3748 | 0.5 | 0.1352 |
| 5.6606 | 11.0 | 297 | 2.4432 | 0.4844 | 0.1329 |
| 5.6606 | 12.0 | 324 | 2.5012 | 0.5156 | 0.1352 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.10.1+cu111
- Datasets 2.19.1
- Tokenizers 0.19.1