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callmesan
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whisper-tiny-south-indic-audio-abuse-feature

Audio Classification
Transformers
PyTorch
whisper
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +103 -0
  2. config.json +2270 -0
  3. preprocessor_config.json +14 -0
  4. pytorch_model.bin +3 -0
  5. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: parambharat/whisper-tiny-south-indic
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: whisper-tiny-south-indic-audio-abuse-feature
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+ results: []
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+ ---
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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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+
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+ # whisper-tiny-south-indic-audio-abuse-feature
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+
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+ This model is a fine-tuned version of [parambharat/whisper-tiny-south-indic](https://huggingface.co/parambharat/whisper-tiny-south-indic) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8754
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+ - Accuracy: 0.8091
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+ - Macro F1-score: 0.7326
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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_ratio: 0.1
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+ - num_epochs: 12
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|
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+ | 7.6265 | 0.29 | 10 | 7.5999 | 0.0 | 0.0 |
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+ | 7.5514 | 0.58 | 20 | 7.4739 | 0.0 | 0.0 |
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+ | 7.3762 | 0.86 | 30 | 7.2108 | 0.7073 | 0.2762 |
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+ | 7.0242 | 1.15 | 40 | 6.6877 | 0.7114 | 0.4157 |
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+ | 6.421 | 1.44 | 50 | 6.0112 | 0.7114 | 0.4157 |
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+ | 5.7786 | 1.73 | 60 | 5.4468 | 0.7114 | 0.4157 |
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+ | 5.2429 | 2.01 | 70 | 4.9849 | 0.7114 | 0.4157 |
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+ | 4.8449 | 2.3 | 80 | 4.5921 | 0.7114 | 0.4157 |
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+ | 4.5013 | 2.59 | 90 | 4.2484 | 0.7114 | 0.4157 |
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+ | 4.1317 | 2.88 | 100 | 3.9375 | 0.7114 | 0.4157 |
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+ | 3.8904 | 3.17 | 110 | 3.6543 | 0.7114 | 0.4157 |
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+ | 3.5933 | 3.45 | 120 | 3.3909 | 0.7114 | 0.4157 |
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+ | 3.3129 | 3.74 | 130 | 3.1460 | 0.7114 | 0.4157 |
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+ | 3.0954 | 4.03 | 140 | 2.9201 | 0.7114 | 0.4157 |
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+ | 2.8817 | 4.32 | 150 | 2.7098 | 0.7114 | 0.4157 |
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+ | 2.7003 | 4.6 | 160 | 2.5173 | 0.7114 | 0.4157 |
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+ | 2.5074 | 4.89 | 170 | 2.3380 | 0.7114 | 0.4157 |
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+ | 2.3684 | 5.18 | 180 | 2.1744 | 0.7114 | 0.4157 |
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+ | 2.1876 | 5.47 | 190 | 2.0227 | 0.7114 | 0.4157 |
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+ | 2.0526 | 5.76 | 200 | 1.8856 | 0.7114 | 0.4157 |
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+ | 1.8551 | 6.04 | 210 | 1.7647 | 0.7114 | 0.4157 |
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+ | 1.7855 | 6.33 | 220 | 1.6472 | 0.7114 | 0.4157 |
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+ | 1.7239 | 6.62 | 230 | 1.5505 | 0.7358 | 0.4996 |
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+ | 1.5197 | 6.91 | 240 | 1.4623 | 0.7114 | 0.4157 |
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+ | 1.485 | 7.19 | 250 | 1.3723 | 0.7439 | 0.5250 |
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+ | 1.4318 | 7.48 | 260 | 1.2978 | 0.7642 | 0.5914 |
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+ | 1.3828 | 7.77 | 270 | 1.2308 | 0.7805 | 0.6390 |
83
+ | 1.1559 | 8.06 | 280 | 1.1848 | 0.7398 | 0.5124 |
84
+ | 1.1692 | 8.35 | 290 | 1.1189 | 0.7886 | 0.6581 |
85
+ | 1.2058 | 8.63 | 300 | 1.0709 | 0.7846 | 0.6486 |
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+ | 1.1676 | 8.92 | 310 | 1.0313 | 0.7886 | 0.6635 |
87
+ | 1.0257 | 9.21 | 320 | 0.9966 | 0.7886 | 0.6581 |
88
+ | 0.9943 | 9.5 | 330 | 0.9652 | 0.7886 | 0.6635 |
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+ | 0.9894 | 9.78 | 340 | 0.9398 | 0.7927 | 0.6726 |
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+ | 1.0581 | 10.07 | 350 | 0.9206 | 0.8171 | 0.7313 |
91
+ | 0.9395 | 10.36 | 360 | 0.9003 | 0.8008 | 0.6992 |
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+ | 0.9766 | 10.65 | 370 | 0.8873 | 0.7886 | 0.6687 |
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+ | 0.9291 | 10.94 | 380 | 0.8759 | 0.8089 | 0.7155 |
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+ | 0.8967 | 11.22 | 390 | 0.8704 | 0.7927 | 0.6726 |
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+ | 0.9463 | 11.51 | 400 | 0.8656 | 0.7967 | 0.6862 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3
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+ {
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+ "_name_or_path": "parambharat/whisper-tiny-south-indic",
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "WhisperForAudioClassification"
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+ ],
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