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README.md
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---
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license: apache-2.0
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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-xls-r-300m-slowenian-with-lm
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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-xls-r-300m-slowenian-with-lm
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3935
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- Wer: 0.3480
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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: 0.0001
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- train_batch_size: 32
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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: 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: 50
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- num_epochs: 30
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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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| 7.9937 | 2.5 | 100 | 3.1565 | 1.0 |
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| 3.0466 | 5.0 | 200 | 3.0009 | 0.9992 |
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| 2.9708 | 7.5 | 300 | 2.9494 | 0.9992 |
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| 2.0519 | 10.0 | 400 | 0.8874 | 0.7290 |
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| 0.5773 | 12.5 | 500 | 0.5258 | 0.5037 |
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| 0.3427 | 15.0 | 600 | 0.4767 | 0.4649 |
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| 0.2612 | 17.5 | 700 | 0.4549 | 0.4209 |
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| 0.212 | 20.0 | 800 | 0.4294 | 0.3860 |
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| 0.1748 | 22.5 | 900 | 0.4085 | 0.3769 |
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| 0.1587 | 25.0 | 1000 | 0.4017 | 0.3673 |
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| 0.1435 | 27.5 | 1100 | 0.3927 | 0.3538 |
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| 0.1314 | 30.0 | 1200 | 0.3935 | 0.3480 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.9.0+cu111
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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