henil panchal
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update model card README.md
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README.md
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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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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xls-r-300m-telugu-asr
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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-telugu-asr
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8208
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- Wer: 1.0395
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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: 0.0003
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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: 2
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- total_train_batch_size: 16
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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: 30
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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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| 11.4834 | 1.37 | 200 | 4.8950 | 1.0 |
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| 3.9043 | 2.74 | 400 | 3.8879 | 1.0 |
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| 3.7152 | 4.11 | 600 | 3.6273 | 1.0 |
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| 3.6229 | 5.48 | 800 | 3.8105 | 1.0 |
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| 3.5465 | 6.85 | 1000 | 3.6970 | 1.0 |
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| 3.5106 | 8.22 | 1200 | 3.6657 | 1.0 |
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| 3.3731 | 9.59 | 1400 | 3.4669 | 0.9995 |
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| 3.183 | 10.96 | 1600 | 3.1894 | 0.9983 |
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| 2.9215 | 12.33 | 1800 | 2.9099 | 0.9993 |
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| 2.5357 | 13.7 | 2000 | 2.8166 | 1.0407 |
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| 2.1257 | 15.07 | 2200 | 2.6122 | 1.0205 |
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| 1.7549 | 16.44 | 2400 | 2.5981 | 1.0457 |
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| 1.4642 | 17.81 | 2600 | 2.5619 | 1.0015 |
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| 1.1814 | 19.18 | 2800 | 2.8769 | 0.9836 |
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| 0.9759 | 20.55 | 3000 | 2.8497 | 1.0078 |
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| 0.8066 | 21.92 | 3200 | 3.1365 | 1.0655 |
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| 0.6614 | 23.29 | 3400 | 3.1759 | 0.9964 |
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| 0.5687 | 24.66 | 3600 | 3.3751 | 1.0103 |
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| 0.4987 | 26.03 | 3800 | 3.5111 | 1.0180 |
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| 0.4304 | 27.4 | 4000 | 3.6908 | 1.0200 |
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| 0.3818 | 28.77 | 4200 | 3.8208 | 1.0395 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.10.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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