JvThunder commited on
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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - marsyas/gtzan
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+ model-index:
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+ - name: genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
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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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+ # genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
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+
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+ This model is a fine-tuned version of [pedromatias97/genre-recognizer-finetuned-gtzan_dset](https://huggingface.co/pedromatias97/genre-recognizer-finetuned-gtzan_dset) on the GTZAN dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.2709
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+ - eval_accuracy: 0.88
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+ - eval_runtime: 67.912
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+ - eval_samples_per_second: 1.472
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+ - eval_steps_per_second: 0.191
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+ - epoch: 2.0
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+ - step: 226
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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: 3e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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_ratio: 0.1
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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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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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