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update model card README.md
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README.md
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---
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language:
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- sl
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_7_0
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-large-xls-r-300m-slovenian
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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-slovenian
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - SL dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2093
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- Wer: 0.1907
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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: 7e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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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: 1000
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- num_epochs: 100.0
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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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| 1.785 | 12.5 | 1000 | 0.7465 | 0.6812 |
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| 0.8989 | 25.0 | 2000 | 0.2495 | 0.2732 |
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| 0.7118 | 37.5 | 3000 | 0.2126 | 0.2284 |
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| 0.6367 | 50.0 | 4000 | 0.2049 | 0.2049 |
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| 0.5763 | 62.5 | 5000 | 0.2116 | 0.2055 |
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| 0.5196 | 75.0 | 6000 | 0.2111 | 0.1910 |
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| 0.4949 | 87.5 | 7000 | 0.2131 | 0.1931 |
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| 0.4797 | 100.0 | 8000 | 0.2093 | 0.1907 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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