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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: 1.2282
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- Wer: 0.6838
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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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| 5.3155 | 3.4 | 500 | 4.5582 | 1.0 |
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| 3.3369 | 6.8 | 1000 | 3.4269 | 1.0 |
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| 2.1785 | 10.2 | 1500 | 1.7191 | 0.8831 |
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| 1.579 | 13.6 | 2000 | 1.3604 | 0.7647 |
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| 1.3773 | 17.01 | 2500 | 1.2737 | 0.7519 |
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| 1.3165 | 20.41 | 3000 | 1.2457 | 0.7401 |
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| 1.2274 | 23.81 | 3500 | 1.3617 | 0.7301 |
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| 1.1787 | 27.21 | 4000 | 1.2068 | 0.7010 |
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| 1.1467 | 30.61 | 4500 | 1.2416 | 0.6946 |
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| 1.0801 | 34.01 | 5000 | 1.2312 | 0.6990 |
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| 1.0709 | 37.41 | 5500 | 1.2984 | 0.7138 |
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| 1.0307 | 40.81 | 6000 | 1.2049 | 0.6871 |
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| 1.0003 | 44.22 | 6500 | 1.1956 | 0.6841 |
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| 1.004 | 47.62 | 7000 | 1.2101 | 0.6793 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu113
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- Datasets 1.18.1.dev0
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- Tokenizers 0.11.0
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