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--- |
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language: |
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- en_us |
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license: apache-2.0 |
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tags: |
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- fleurs-asr |
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- google/xtreme_s |
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- generated_from_trainer |
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datasets: |
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- google/xtreme_s |
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model-index: |
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- name: xtreme_s_xlsr_300m_fleurs_asr_en_us |
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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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# xtreme_s_xlsr_300m_fleurs_asr_en_us |
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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 GOOGLE/XTREME_S - FLEURS.EN_US dataset. |
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It achieves the following results on the evaluation set: |
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- Cer: 0.1356 |
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- Loss: 0.5599 |
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- Wer: 0.3148 |
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- Predict Samples: 647 |
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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: 1 |
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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: 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: 200 |
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- num_epochs: 30.0 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 2.8769 | 5.0 | 200 | 2.8871 | 1.0 | 0.9878 | |
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| 0.2458 | 10.0 | 400 | 0.5570 | 0.4899 | 0.1951 | |
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| 0.0762 | 15.0 | 600 | 0.5213 | 0.3727 | 0.1562 | |
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| 0.0334 | 20.0 | 800 | 0.5742 | 0.3666 | 0.1543 | |
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| 0.0244 | 25.0 | 1000 | 0.5907 | 0.3546 | 0.1499 | |
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| 0.0143 | 30.0 | 1200 | 0.5961 | 0.3460 | 0.1469 | |
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### Framework versions |
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- Transformers 4.18.0.dev0 |
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- Pytorch 1.10.1+cu111 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.11.6 |
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