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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-mms-1b-all-lingala-ojpl-4 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: audiofolder |
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type: audiofolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.2868821999256782 |
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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-large-mms-1b-all-lingala-ojpl-4 |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7849 |
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- Wer: 0.2869 |
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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: 4 |
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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_steps: 100 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.5152 | 0.54 | 100 | 0.9315 | 0.3430 | |
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| 0.4837 | 1.08 | 200 | 0.9377 | 0.3133 | |
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| 0.5943 | 1.61 | 300 | 0.8318 | 0.3177 | |
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| 0.6232 | 2.15 | 400 | 0.7491 | 0.3107 | |
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| 0.5186 | 2.69 | 500 | 0.7888 | 0.2899 | |
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| 0.6024 | 3.23 | 600 | 0.7674 | 0.2913 | |
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| 0.4522 | 3.76 | 700 | 0.7849 | 0.2869 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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