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--- |
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base_model: Harveenchadha/vakyansh-wav2vec2-kannada-knm-560 |
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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: kannada_wav2vec2_final |
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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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# kannada_wav2vec2_final |
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This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-kannada-knm-560](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-kannada-knm-560) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0031 |
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- Wer: 0.1030 |
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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: 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: 10 |
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- num_epochs: 50 |
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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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| 1.2326 | 8.33 | 25 | 0.2090 | 0.3620 | |
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| 0.2484 | 16.67 | 50 | 0.0718 | 0.1836 | |
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| 0.1391 | 25.0 | 75 | 0.0482 | 0.1308 | |
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| 0.0653 | 33.33 | 100 | 0.0091 | 0.1083 | |
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| 0.0616 | 41.67 | 125 | 0.0039 | 0.1044 | |
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| 0.0369 | 50.0 | 150 | 0.0031 | 0.1030 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 1.18.3 |
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- Tokenizers 0.14.1 |
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