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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-bem-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-bem-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1638
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- Wer: 0.3223
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 200
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- num_epochs: 10
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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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| 2.2095 | 1.03 | 200 | 0.2066 | 0.3850 |
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| 0.4028 | 2.06 | 400 | 0.1861 | 0.3539 |
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| 0.3751 | 3.09 | 600 | 0.1781 | 0.3417 |
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| 0.3631 | 4.12 | 800 | 0.1739 | 0.3392 |
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| 0.3481 | 5.15 | 1000 | 0.1688 | 0.3340 |
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| 0.3391 | 6.19 | 1200 | 0.1690 | 0.3319 |
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| 0.3301 | 7.22 | 1400 | 0.1654 | 0.3285 |
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| 0.3237 | 8.25 | 1600 | 0.1667 | 0.3262 |
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| 0.3186 | 9.28 | 1800 | 0.1638 | 0.3223 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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