End of training
Browse files- README.md +76 -0
- config.json +0 -0
- model.safetensors +3 -0
- preprocessor_config.json +14 -0
- training_args.bin +3 -0
README.md
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---
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base_model: HariprasathSB/indic-whisper-vulnerable
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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: audio-abuse-feature
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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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# audio-abuse-feature
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This model is a fine-tuned version of [HariprasathSB/indic-whisper-vulnerable](https://huggingface.co/HariprasathSB/indic-whisper-vulnerable) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4489
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- Accuracy: 0.8814
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- Macro Precision: 0.8557
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- Macro Recall: 0.8472
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- Macro F1-score: 0.8513
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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: 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: 0.01
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro Recall | Macro F1-score |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------------:|
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| 0.4633 | 0.4367 | 50 | 0.3753 | 0.8327 | 0.8321 | 0.8314 | 0.8317 |
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| 0.345 | 0.8734 | 100 | 0.4170 | 0.8241 | 0.8612 | 0.8126 | 0.8150 |
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| 0.2592 | 1.3100 | 150 | 0.3357 | 0.8512 | 0.8506 | 0.8502 | 0.8504 |
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| 0.2097 | 1.7467 | 200 | 0.3142 | 0.8758 | 0.8757 | 0.8744 | 0.8749 |
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| 0.1545 | 2.1834 | 250 | 0.3551 | 0.8721 | 0.8713 | 0.8718 | 0.8715 |
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| 0.0829 | 2.6201 | 300 | 0.3916 | 0.8795 | 0.8797 | 0.8778 | 0.8786 |
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| 0.0944 | 3.0568 | 350 | 0.4137 | 0.8721 | 0.8714 | 0.8730 | 0.8718 |
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| 0.0416 | 3.4934 | 400 | 0.5350 | 0.8659 | 0.8677 | 0.8631 | 0.8646 |
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| 0.0469 | 3.9301 | 450 | 0.5129 | 0.8733 | 0.8727 | 0.8726 | 0.8727 |
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| 0.0247 | 4.3668 | 500 | 0.5543 | 0.8708 | 0.8713 | 0.8689 | 0.8698 |
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| 0.0208 | 4.8035 | 550 | 0.5611 | 0.8696 | 0.8691 | 0.8688 | 0.8689 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:864246021cd4d846d307ea7a682f077c2777393fac00a6c95d98415ee6de7108
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size 1229957888
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preprocessor_config.json
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "WhisperProcessor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6342539509271c81d19838f0723b87987024940bf7d4cd2d6204426a97c1c828
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size 5112
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