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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_beekeeping_wav2vec2-3 |
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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_beekeeping_wav2vec2-3 |
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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: 1.3192 |
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- Wer: 0.3523 |
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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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| 3.3632 | 5.56 | 25 | 1.6683 | 0.5591 | |
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| 0.4727 | 11.11 | 50 | 1.4523 | 0.4156 | |
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| 0.3069 | 16.67 | 75 | 1.6365 | 0.3987 | |
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| 0.1225 | 22.22 | 100 | 1.4288 | 0.4367 | |
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| 0.0865 | 27.78 | 125 | 1.4239 | 0.4051 | |
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| 0.0496 | 33.33 | 150 | 1.3113 | 0.3819 | |
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| 0.0436 | 38.89 | 175 | 1.3556 | 0.3776 | |
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| 0.0337 | 44.44 | 200 | 1.2882 | 0.3586 | |
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| 0.0275 | 50.0 | 225 | 1.4075 | 0.3861 | |
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| 0.0204 | 55.56 | 250 | 1.3286 | 0.3734 | |
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| 0.016 | 61.11 | 275 | 1.3683 | 0.3861 | |
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| 0.0106 | 66.67 | 300 | 1.4088 | 0.3376 | |
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| 0.0096 | 72.22 | 325 | 1.3975 | 0.3565 | |
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| 0.0114 | 77.78 | 350 | 1.3268 | 0.3544 | |
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| 0.0078 | 83.33 | 375 | 1.3118 | 0.3439 | |
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| 0.0124 | 88.89 | 400 | 1.3192 | 0.3523 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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