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--- |
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license: apache-2.0 |
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base_model: Harveenchadha/hindi_base_wav2vec2 |
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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_wav2vec2-2 |
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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_beekeeping_wav2vec2-2 |
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This model is a fine-tuned version of [Harveenchadha/hindi_base_wav2vec2](https://huggingface.co/Harveenchadha/hindi_base_wav2vec2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5244 |
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- Wer: 0.3984 |
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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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| 0.3815 | 4.55 | 25 | 1.0849 | 0.3984 | |
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| 0.1143 | 9.09 | 50 | 1.0752 | 0.3659 | |
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| 0.0827 | 13.64 | 75 | 1.4514 | 0.4390 | |
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| 0.0546 | 18.18 | 100 | 1.6510 | 0.4146 | |
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| 0.0506 | 22.73 | 125 | 1.5120 | 0.4593 | |
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| 0.0394 | 27.27 | 150 | 1.5948 | 0.4797 | |
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| 0.0356 | 31.82 | 175 | 1.4317 | 0.4228 | |
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| 0.0314 | 36.36 | 200 | 1.7475 | 0.4553 | |
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| 0.0278 | 40.91 | 225 | 1.6500 | 0.4634 | |
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| 0.0335 | 45.45 | 250 | 1.5310 | 0.4756 | |
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| 0.0213 | 50.0 | 275 | 1.4817 | 0.4593 | |
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| 0.0177 | 54.55 | 300 | 1.6921 | 0.4228 | |
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| 0.0115 | 59.09 | 325 | 1.6241 | 0.4106 | |
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| 0.0152 | 63.64 | 350 | 1.5167 | 0.4106 | |
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| 0.0109 | 68.18 | 375 | 1.7510 | 0.4553 | |
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| 0.011 | 72.73 | 400 | 1.6425 | 0.4146 | |
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| 0.0101 | 77.27 | 425 | 1.6253 | 0.4146 | |
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| 0.0091 | 81.82 | 450 | 1.6383 | 0.3984 | |
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| 0.008 | 86.36 | 475 | 1.5251 | 0.3984 | |
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| 0.0069 | 90.91 | 500 | 1.5244 | 0.3984 | |
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### Framework versions |
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- Transformers 4.34.1 |
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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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