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--- |
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license: mit |
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base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 |
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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: hindi_wav2vec2_optimized_2 |
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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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# hindi_wav2vec2_optimized_2 |
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This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4408 |
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- Wer: 0.3122 |
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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: 100 |
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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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| 3.2061 | 5.56 | 25 | 1.5744 | 0.5338 | |
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| 0.4727 | 11.11 | 50 | 1.4735 | 0.4409 | |
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| 0.2901 | 16.67 | 75 | 1.6240 | 0.4536 | |
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| 0.1643 | 22.22 | 100 | 1.4403 | 0.4726 | |
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| 0.0991 | 27.78 | 125 | 1.3516 | 0.4114 | |
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| 0.0512 | 33.33 | 150 | 1.3740 | 0.4409 | |
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| 0.0645 | 38.89 | 175 | 1.3560 | 0.3903 | |
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| 0.0461 | 44.44 | 200 | 1.3505 | 0.3840 | |
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| 0.0372 | 50.0 | 225 | 1.5078 | 0.4114 | |
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| 0.0277 | 55.56 | 250 | 1.5161 | 0.3629 | |
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| 0.0201 | 61.11 | 275 | 1.4834 | 0.3819 | |
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| 0.016 | 66.67 | 300 | 1.4693 | 0.3608 | |
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| 0.0122 | 72.22 | 325 | 1.4352 | 0.3439 | |
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| 0.0147 | 77.78 | 350 | 1.4382 | 0.3291 | |
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| 0.0098 | 83.33 | 375 | 1.4329 | 0.3122 | |
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| 0.015 | 88.89 | 400 | 1.4408 | 0.3122 | |
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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 2.14.5 |
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- Tokenizers 0.14.1 |
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