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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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- code |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xlsr-300m-hi-kagglex |
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results: [] |
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datasets: |
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- SakshiRathi77/ASR_CV15_Hindi_wav_16000 |
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language: |
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- hi |
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library_name: transformers |
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pipeline_tag: automatic-speech-recognition |
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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-xlsr-300m-hi-kagglex |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3691 |
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- Wer: 0.3285 |
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- Cer: 0.0875 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 300 |
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- num_epochs: 100 |
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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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| 7.314 | 19.05 | 300 | 3.4661 | 1.0 | 1.0 | |
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| 2.5698 | 38.1 | 600 | 0.6577 | 0.5203 | 0.1466 | |
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| 0.6112 | 57.14 | 900 | 0.4048 | 0.3723 | 0.1005 | |
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| 0.3826 | 76.19 | 1200 | 0.3778 | 0.3386 | 0.0901 | |
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| 0.3168 | 95.24 | 1500 | 0.3691 | 0.3285 | 0.0875 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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### SPACE |
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[Automatic Speech Recognization in hindi](https://huggingface.co/spaces/SakshiRathi77/SakshiRathi77-Wishper-Hi-Kagglex) |
