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--- |
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language: |
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- hu |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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- hu |
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- model_for_talk |
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- mozilla-foundation/common_voice_7_0 |
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- robust-speech-event |
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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 - Hungarian |
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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: hu |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 31.099 |
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- name: Test CER |
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type: cer |
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value: 6.737 |
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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: hu |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 45.469 |
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- name: Test CER |
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type: cer |
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value: 15.727 |
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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: hu |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 48.2 |
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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-hungarian |
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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 - HU dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2562 |
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- Wer: 0.3112 |
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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: 32 |
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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: 50.0 |
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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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| 2.3964 | 3.52 | 1000 | 1.2251 | 0.8781 | |
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| 1.3176 | 7.04 | 2000 | 0.3872 | 0.4462 | |
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| 1.1999 | 10.56 | 3000 | 0.3244 | 0.3922 | |
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| 1.1633 | 14.08 | 4000 | 0.3014 | 0.3704 | |
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| 1.1132 | 17.61 | 5000 | 0.2913 | 0.3623 | |
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| 1.0888 | 21.13 | 6000 | 0.2864 | 0.3498 | |
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| 1.0487 | 24.65 | 7000 | 0.2821 | 0.3435 | |
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| 1.0431 | 28.17 | 8000 | 0.2739 | 0.3308 | |
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| 0.9896 | 31.69 | 9000 | 0.2629 | 0.3243 | |
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| 0.9839 | 35.21 | 10000 | 0.2806 | 0.3308 | |
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| 0.9586 | 38.73 | 11000 | 0.2650 | 0.3235 | |
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| 0.9501 | 42.25 | 12000 | 0.2585 | 0.3173 | |
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| 0.938 | 45.77 | 13000 | 0.2561 | 0.3117 | |
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| 0.921 | 49.3 | 14000 | 0.2559 | 0.3115 | |
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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 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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