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---
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license: cc0-1.0
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-large-voxrex-npsc-nynorsk
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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-voxrex-npsc-nynorsk
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This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3580
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- Wer: 0.2155
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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: 7.5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 2000
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- num_epochs: 40.0
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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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| 3.086 | 2.17 | 500 | 3.0773 | 1.0 |
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| 2.8532 | 4.35 | 1000 | 2.8393 | 1.0 |
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| 0.9738 | 6.52 | 1500 | 0.7283 | 0.4890 |
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| 0.6763 | 8.7 | 2000 | 0.5340 | 0.3662 |
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| 0.5303 | 10.87 | 2500 | 0.4521 | 0.3140 |
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| 0.4765 | 13.04 | 3000 | 0.4181 | 0.2853 |
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| 0.4219 | 15.22 | 3500 | 0.4156 | 0.2934 |
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| 0.3564 | 17.39 | 4000 | 0.3925 | 0.2509 |
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| 0.3282 | 19.57 | 4500 | 0.3824 | 0.2420 |
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| 0.3118 | 21.74 | 5000 | 0.3636 | 0.2354 |
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| 0.2919 | 23.91 | 5500 | 0.3615 | 0.2281 |
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| 0.2961 | 26.09 | 6000 | 0.3548 | 0.2255 |
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| 0.284 | 28.26 | 6500 | 0.3526 | 0.2209 |
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| 0.2566 | 30.43 | 7000 | 0.3526 | 0.2205 |
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| 0.2422 | 32.61 | 7500 | 0.3569 | 0.2173 |
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| 0.2472 | 34.78 | 8000 | 0.3592 | 0.2166 |
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| 0.2337 | 36.96 | 8500 | 0.3625 | 0.2172 |
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| 0.2315 | 39.13 | 9000 | 0.3580 | 0.2155 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.10.3
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