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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - wwwtwwwt/fineaudio-Entertainment
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: Wav2Vec2 - Entertainment - Gaming Livestreams
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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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+ # Wav2Vec2 - Entertainment - Gaming Livestreams
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the fineaudio-Entertainment-Gaming Livestreams dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0
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+ - Accuracy: 0.0
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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: 0.0001
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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+ - seed: 42
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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: 1000
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+ - training_steps: 4000
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+ - mixed_precision_training: Native AMP
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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 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.2945 | 0.0937 | 500 | 2.8814 | 0.0 |
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+ | 1.2961 | 0.1875 | 1000 | 2.8496 | 0.0 |
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+ | 1.2744 | 0.2812 | 1500 | 3.1602 | 0.0 |
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+ | 1.2647 | 0.3750 | 2000 | 3.2832 | 0.0 |
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+ | 1.269 | 0.4687 | 2500 | 3.1699 | 0.0 |
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+ | 1.2696 | 0.5624 | 3000 | 3.1230 | 0.0 |
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+ | 1.2664 | 0.6562 | 3500 | 3.0762 | 0.0 |
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+ | 1.286 | 0.7499 | 4000 | 3.0 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.0
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.0
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