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README.md
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---
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language:
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- hi
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_7_0
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4484
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- Wer: 1.0145
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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: 8
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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: 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: 2000
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- num_epochs: 50.0
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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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| 5.1844 | 3.4 | 500 | 5.2015 | 0.9999 |
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| 3.3962 | 6.8 | 1000 | 3.4017 | 1.0002 |
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| 2.5433 | 10.2 | 1500 | 1.6884 | 1.0222 |
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| 1.5099 | 13.6 | 2000 | 0.7929 | 1.0188 |
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| 1.2685 | 17.01 | 2500 | 0.6122 | 1.0191 |
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| 1.1844 | 20.41 | 3000 | 0.5434 | 1.0197 |
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| 1.0945 | 23.81 | 3500 | 0.5208 | 1.0316 |
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| 1.0506 | 27.21 | 4000 | 0.4941 | 1.0139 |
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| 1.0199 | 30.61 | 4500 | 0.4736 | 1.0106 |
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| 0.9546 | 34.01 | 5000 | 0.4664 | 1.0164 |
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| 0.9388 | 37.41 | 5500 | 0.4565 | 1.0085 |
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| 0.9125 | 40.81 | 6000 | 0.4636 | 1.0148 |
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| 0.8733 | 44.22 | 6500 | 0.4530 | 1.0154 |
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| 0.8829 | 47.62 | 7000 | 0.4494 | 1.0152 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.17.1.dev0
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- Tokenizers 0.11.0
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