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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-nya-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-nya-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: 0.4327
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- Wer: 0.3505
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 15
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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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| 4.1659 | 0.2 | 200 | 0.6822 | 0.5353 |
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| 0.2331 | 0.39 | 400 | 0.5220 | 0.4493 |
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| 0.2119 | 0.59 | 600 | 0.4967 | 0.4146 |
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| 0.1995 | 0.79 | 800 | 0.5021 | 0.4025 |
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| 0.1812 | 0.99 | 1000 | 0.5046 | 0.3979 |
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| 0.1744 | 1.18 | 1200 | 0.4786 | 0.3884 |
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| 0.1783 | 1.38 | 1400 | 0.4630 | 0.3786 |
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| 0.1663 | 1.58 | 1600 | 0.4511 | 0.3634 |
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| 0.1609 | 1.77 | 1800 | 0.4656 | 0.3647 |
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| 0.1632 | 1.97 | 2000 | 0.4254 | 0.3553 |
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| 0.1568 | 2.17 | 2200 | 0.4326 | 0.3529 |
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| 0.1544 | 2.37 | 2400 | 0.4291 | 0.3477 |
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| 0.1524 | 2.56 | 2600 | 0.4327 | 0.3505 |
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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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