End of training
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README.md
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---
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base_model: bilalhsp/wav2vec2-base-audioset-natural-sounds
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tags:
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: wav2vec2-48KHz-audioset-natual-sounds
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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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# wav2vec2-48KHz-audioset-natual-sounds
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This model is a fine-tuned version of [bilalhsp/wav2vec2-base-audioset-natural-sounds](https://huggingface.co/bilalhsp/wav2vec2-base-audioset-natural-sounds) on the generator dataset.
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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: 0.0001
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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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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_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: 1
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 2 | 1786.3845 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul21_18-19-20_gilbreth-c002.rcac.purdue.edu/events.out.tfevents.1721600361.gilbreth-c002.rcac.purdue.edu.11499.0
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