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language: de |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- multilingual_librispeech |
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- generated_from_trainer |
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datasets: |
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- multilingual_librispeech |
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model-index: |
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- name: wav2vec2-100m-mls-german-ft-2 |
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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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# wav2vec2-100m-mls-german-ft-2 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-100m](https://huggingface.co/facebook/wav2vec2-xls-r-100m) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9304 |
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- Wer: 1.0 |
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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: 0.0005 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 64 |
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- total_eval_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: 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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| 2.9545 | 14.29 | 500 | 2.9354 | 1.0 | |
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| 2.9537 | 28.57 | 1000 | 2.9359 | 1.0 | |
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| 2.9602 | 42.86 | 1500 | 2.9302 | 1.0 | |
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| 2.9586 | 57.14 | 2000 | 2.9298 | 1.0 | |
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| 2.9331 | 71.43 | 2500 | 2.9314 | 1.0 | |
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| 2.9321 | 85.71 | 3000 | 2.9304 | 1.0 | |
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| 2.9652 | 100.0 | 3500 | 2.9304 | 1.0 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.15.2.dev0 |
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- Tokenizers 0.10.3 |
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