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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-lv-60-espeak-cv-ft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- voxpopuli |
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metrics: |
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- wer |
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model-index: |
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- name: cs2fi_wav2vec2-large-xls-r-300m-czech-colab |
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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: voxpopuli |
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type: voxpopuli |
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config: fi |
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split: test |
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args: fi |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.0859538784067087 |
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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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# cs2fi_wav2vec2-large-xls-r-300m-czech-colab |
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This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the voxpopuli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 507.5248 |
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- Wer: 1.0860 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 500 |
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- num_epochs: 50 |
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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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| 3042.8738 | 3.51 | 100 | 422.1938 | 0.9518 | |
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| 362.1554 | 7.02 | 200 | 231.7486 | 1.0 | |
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| 208.092 | 10.53 | 300 | 196.4194 | 0.9958 | |
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| 189.1354 | 14.04 | 400 | 211.6223 | 0.9350 | |
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| 163.6355 | 17.54 | 500 | 235.3201 | 0.9182 | |
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| 140.7959 | 21.05 | 600 | 256.4028 | 0.9539 | |
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| 115.5506 | 24.56 | 700 | 311.4562 | 1.0147 | |
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| 93.6629 | 28.07 | 800 | 304.0882 | 1.2243 | |
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| 78.9694 | 31.58 | 900 | 354.5415 | 1.1279 | |
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| 67.4151 | 35.09 | 1000 | 423.6178 | 1.0860 | |
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| 55.1471 | 38.6 | 1100 | 468.3192 | 1.0922 | |
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| 55.8001 | 42.11 | 1200 | 408.8039 | 1.0839 | |
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| 46.9208 | 45.61 | 1300 | 524.1367 | 1.0650 | |
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| 43.7264 | 49.12 | 1400 | 507.5248 | 1.0860 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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