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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-chich-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-chich-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: inf |
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- Wer: 0.6583 |
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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: 8 |
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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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| 6.9371 | 0.44 | 100 | inf | 0.7521 | |
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| 1.4647 | 0.88 | 200 | inf | 0.7314 | |
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| 1.2928 | 1.32 | 300 | inf | 0.7388 | |
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| 1.3529 | 1.75 | 400 | inf | 0.7320 | |
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| 1.1927 | 2.19 | 500 | inf | 0.6984 | |
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| 1.34 | 2.63 | 600 | inf | 0.6992 | |
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| 1.2707 | 3.07 | 700 | inf | 0.6922 | |
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| 1.105 | 3.51 | 800 | inf | 0.7185 | |
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| 1.1334 | 3.95 | 900 | inf | 0.6838 | |
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| 1.0915 | 4.39 | 1000 | inf | 0.6751 | |
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| 1.133 | 4.82 | 1100 | inf | 0.6934 | |
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| 1.1295 | 5.26 | 1200 | inf | 0.6752 | |
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| 1.0214 | 5.7 | 1300 | inf | 0.6700 | |
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| 0.9687 | 6.14 | 1400 | inf | 0.6692 | |
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| 1.0553 | 6.58 | 1500 | inf | 0.6664 | |
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| 0.9686 | 7.02 | 1600 | inf | 0.6618 | |
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| 0.9565 | 7.46 | 1700 | inf | 0.6605 | |
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| 1.001 | 7.89 | 1800 | inf | 0.6583 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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