--- 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](https://huggingface.co/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