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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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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-mms-1b-twi-colab |
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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-large-mms-1b-twi-colab |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5085 |
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- Wer: 0.4664 |
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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: 0.0003 |
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- train_batch_size: 16 |
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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: 100 |
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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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| 7.6457 | 7.69 | 100 | 1.0843 | 0.8419 | |
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| 0.7832 | 15.38 | 200 | 0.4796 | 0.5296 | |
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| 0.5053 | 23.08 | 300 | 0.4547 | 0.4783 | |
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| 0.4083 | 30.77 | 400 | 0.4349 | 0.4545 | |
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| 0.3281 | 38.46 | 500 | 0.4467 | 0.4506 | |
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| 0.276 | 46.15 | 600 | 0.4482 | 0.4427 | |
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| 0.2269 | 53.85 | 700 | 0.4847 | 0.4664 | |
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| 0.2081 | 61.54 | 800 | 0.4704 | 0.4150 | |
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| 0.1974 | 69.23 | 900 | 0.5047 | 0.4506 | |
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| 0.1695 | 76.92 | 1000 | 0.5142 | 0.4625 | |
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| 0.1642 | 84.62 | 1100 | 0.5028 | 0.4625 | |
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| 0.159 | 92.31 | 1200 | 0.5085 | 0.4664 | |
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| 0.1581 | 100.0 | 1300 | 0.5085 | 0.4664 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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