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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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- sl |
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- robust-speech-event |
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- model_for_talk |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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model-index: |
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- name: XLS-R-300M - Slovenian |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 7 |
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type: mozilla-foundation/common_voice_7_0 |
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args: sl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 18.97 |
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- name: Test CER |
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type: cer |
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value: 4.534 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: sl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 55.048 |
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- name: Test CER |
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type: cer |
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value: 22.739 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: sl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 54.81 |
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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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