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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-l1107 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-mms-1b-l1107-mus-asr-10m |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wav2vec2-mms-1b-l1107-mus-asr-10m |
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This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4432 |
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- Wer: 0.4844 |
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- Cer: 0.1329 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.4 |
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- num_epochs: 12 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| No log | 4.0 | 108 | 3.4128 | 1.0 | 1.0 | |
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| No log | 5.0 | 135 | 3.2507 | 1.0 | 1.0 | |
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| No log | 6.0 | 162 | 2.9310 | 1.0 | 0.3287 | |
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| No log | 7.0 | 189 | 2.3864 | 0.875 | 0.1958 | |
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| 5.6606 | 8.0 | 216 | 2.5689 | 0.7188 | 0.1772 | |
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| 5.6606 | 9.0 | 243 | 2.2867 | 0.625 | 0.1655 | |
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| 5.6606 | 10.0 | 270 | 2.3748 | 0.5 | 0.1352 | |
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| 5.6606 | 11.0 | 297 | 2.4432 | 0.4844 | 0.1329 | |
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| 5.6606 | 12.0 | 324 | 2.5012 | 0.5156 | 0.1352 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 1.10.1+cu111 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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