97 lines
2.9 KiB
Markdown
97 lines
2.9 KiB
Markdown
---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- load_data
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metrics:
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- wer
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model-index:
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- name: Whisper Small Sanskrit_4 - Bidit Sadhukhan
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: load_data
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type: load_data
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config: validation
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split: validation
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args: validation
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metrics:
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- name: Wer
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type: wer
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value: 27.941506051098163
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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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# Whisper Small Sanskrit_4 - Bidit Sadhukhan
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the load_data dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1193
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- Wer: 27.9415
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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: 2.5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 44
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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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- training_steps: 10000
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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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| 0.1168 | 0.12 | 500 | 0.2069 | 47.5067 |
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| 0.0854 | 0.23 | 1000 | 0.1774 | 43.4951 |
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| 0.0766 | 0.35 | 1500 | 0.1659 | 40.7385 |
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| 0.0631 | 0.47 | 2000 | 0.1644 | 39.0968 |
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| 0.0629 | 0.58 | 2500 | 0.1379 | 34.7266 |
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| 0.0763 | 0.7 | 3000 | 0.1401 | 35.1916 |
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| 0.0515 | 0.82 | 3500 | 0.1343 | 34.8386 |
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| 0.0457 | 0.93 | 4000 | 0.1185 | 31.6114 |
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| 0.0302 | 1.05 | 4500 | 0.1315 | 33.1074 |
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| 0.0276 | 1.17 | 5000 | 0.1245 | 31.1127 |
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| 0.0234 | 1.28 | 5500 | 0.1265 | 30.9166 |
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| 0.0266 | 1.4 | 6000 | 0.1289 | 30.6029 |
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| 0.0186 | 1.52 | 6500 | 0.1230 | 30.1658 |
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| 0.0284 | 1.63 | 7000 | 0.1157 | 29.2414 |
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| 0.0182 | 1.75 | 7500 | 0.1125 | 27.6165 |
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| 0.024 | 1.87 | 8000 | 0.1143 | 28.5970 |
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| 0.0214 | 1.98 | 8500 | 0.1097 | 27.2972 |
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| 0.0055 | 2.1 | 9000 | 0.1152 | 28.2497 |
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| 0.0069 | 2.21 | 9500 | 0.1210 | 27.3364 |
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| 0.0101 | 2.33 | 10000 | 0.1193 | 27.9415 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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