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--- |
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license: apache-2.0 |
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language: |
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- hi |
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tags: |
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- generated_from_trainer |
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- robust-speech-event |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-hi |
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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-large-xls-r-300m-hi |
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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: 2.4749 |
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- Wer: 0.9420 |
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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: 7.5e-05 |
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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: 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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| 9.8626 | 4.76 | 400 | 3.6151 | 1.0 | |
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| 3.5463 | 9.52 | 800 | 3.5778 | 1.0 | |
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| 3.4415 | 14.28 | 1200 | 3.4525 | 1.0 | |
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| 3.0927 | 19.05 | 1600 | 2.6220 | 0.9860 | |
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| 2.0573 | 23.8 | 2000 | 2.3974 | 0.9610 | |
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| 1.5905 | 28.57 | 2400 | 2.4427 | 0.9558 | |
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| 1.426 | 33.33 | 2800 | 2.4736 | 0.9475 | |
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| 1.3147 | 38.09 | 3200 | 2.4494 | 0.9417 | |
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| 1.2642 | 42.85 | 3600 | 2.4665 | 0.9450 | |
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| 1.2289 | 47.62 | 4000 | 2.4749 | 0.9420 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.10.3 |
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