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--- |
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license: apache-2.0 |
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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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model-index: |
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- name: '' |
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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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# |
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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: 0.7181 |
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- Wer: 0.459 |
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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: 0.000222 |
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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: 1000 |
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- num_epochs: 150.0 |
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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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| 9.6799 | 9.09 | 200 | 3.6119 | 1.0 | |
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| 3.1332 | 18.18 | 400 | 2.5352 | 1.005 | |
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| 1.0465 | 27.27 | 600 | 0.6169 | 0.682 | |
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| 0.3452 | 36.36 | 800 | 0.6572 | 0.607 | |
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| 0.2575 | 45.44 | 1000 | 0.6527 | 0.578 | |
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| 0.2088 | 54.53 | 1200 | 0.6828 | 0.551 | |
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| 0.158 | 63.62 | 1400 | 0.7074 | 0.5575 | |
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| 0.1309 | 72.71 | 1600 | 0.6523 | 0.5595 | |
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| 0.1074 | 81.8 | 1800 | 0.7262 | 0.5415 | |
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| 0.087 | 90.89 | 2000 | 0.7199 | 0.521 | |
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| 0.0711 | 99.98 | 2200 | 0.7113 | 0.523 | |
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| 0.0601 | 109.09 | 2400 | 0.6863 | 0.496 | |
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| 0.0451 | 118.18 | 2600 | 0.6998 | 0.483 | |
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| 0.0378 | 127.27 | 2800 | 0.6971 | 0.4615 | |
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| 0.0319 | 136.36 | 3000 | 0.7119 | 0.4475 | |
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| 0.0305 | 145.44 | 3200 | 0.7181 | 0.459 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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