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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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- common_voice |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-euskera-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: common_voice |
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type: common_voice |
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config: eu |
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split: test |
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args: eu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.28292759459247446 |
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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-euskera-colab |
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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 common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2281 |
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- Wer: 0.2829 |
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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: 4 |
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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: 8 |
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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: 6 |
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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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| 3.6474 | 0.43 | 400 | 0.8974 | 0.9025 | |
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| 0.4849 | 0.85 | 800 | 0.4653 | 0.6314 | |
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| 0.2924 | 1.28 | 1200 | 0.3726 | 0.5294 | |
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| 0.2392 | 1.7 | 1600 | 0.3203 | 0.4461 | |
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| 0.1957 | 2.13 | 2000 | 0.2932 | 0.4053 | |
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| 0.1592 | 2.56 | 2400 | 0.2767 | 0.3760 | |
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| 0.1442 | 2.98 | 2800 | 0.2605 | 0.3635 | |
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| 0.1166 | 3.41 | 3200 | 0.2662 | 0.3415 | |
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| 0.1064 | 3.84 | 3600 | 0.2576 | 0.3409 | |
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| 0.0906 | 4.26 | 4000 | 0.2567 | 0.3234 | |
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| 0.0818 | 4.69 | 4400 | 0.2472 | 0.3063 | |
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| 0.0701 | 5.11 | 4800 | 0.2440 | 0.2951 | |
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| 0.0595 | 5.54 | 5200 | 0.2321 | 0.2810 | |
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| 0.0566 | 5.97 | 5600 | 0.2281 | 0.2829 | |
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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 |
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