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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-xls-r-300m |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-hsb |
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results: [] |
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language: |
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- hsb |
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metrics: |
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- wer |
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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-hsb |
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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 Upper Sorbian common_voice_11_0 dataset. |
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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: 0.0006 |
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- train_batch_size: 16 |
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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: 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: 50 |
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- num_epochs: 1 |
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### Training results |
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| Step | Training Loss | Validation Loss | Wer | |
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|---|---|---|----------| |
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| 200 | 4.408800 | 2.981909 | 0.979601 | |
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| 400 | 1.089200 | 0.900384 | 0.821805 | |
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| 600 | 0.166900 | 0.946962 | 0.755920 | |
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| 800 | 0.091500 | 0.877633 | 0.682767 | |
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| 1000 | 0.064100 | 0.883517 | 0.657913 | |
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| 1200 | 0.053000 | 0.865288 | 0.630715 | |
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| 1400 | 0.037800 | 0.867455 | 0.615475 | |
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| 1600 | 0.028900 | 0.834865 | 0.590621 | |
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| 1800 | 0.023800 | 0.845873 | 0.589215 | |
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| 2000 | 0.019600 | 0.830817 | 0.561313 | |
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| 2200 | 0.016300 | 0.836810 | 0.560610 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
