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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-300m |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: mms-1b-skr_pk |
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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: common_voice_11_0 |
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type: common_voice_11_0 |
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config: skr |
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split: test |
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args: skr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.0 |
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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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# mms-1b-skr_pk |
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This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on the common_voice_11_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4467 |
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- Wer: 1.0 |
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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_steps: 100 |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:---:| |
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| 3.5576 | 0.58 | 100 | 3.5468 | 1.0 | |
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| 3.2271 | 1.16 | 200 | 3.6465 | 1.0 | |
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| 3.3492 | 1.73 | 300 | 3.8570 | 1.0 | |
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| 3.4442 | 2.31 | 400 | 3.7065 | 1.0 | |
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| 3.29 | 2.89 | 500 | 3.5289 | 1.0 | |
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| 3.2951 | 3.47 | 600 | 3.7043 | 1.0 | |
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| 3.2919 | 4.05 | 700 | 3.6748 | 1.0 | |
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| 3.301 | 4.62 | 800 | 3.4422 | 1.0 | |
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| 3.2103 | 5.2 | 900 | 3.4955 | 1.0 | |
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| 3.2728 | 5.78 | 1000 | 3.6059 | 1.0 | |
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| 3.2458 | 6.36 | 1100 | 3.4087 | 1.0 | |
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| 3.244 | 6.94 | 1200 | 3.4352 | 1.0 | |
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| 3.2562 | 7.51 | 1300 | 3.4648 | 1.0 | |
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| 3.2116 | 8.09 | 1400 | 3.4618 | 1.0 | |
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| 3.2268 | 8.67 | 1500 | 3.4313 | 1.0 | |
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| 3.2387 | 9.25 | 1600 | 3.4246 | 1.0 | |
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| 3.1921 | 9.83 | 1700 | 3.4467 | 1.0 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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