End of training
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README.md
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---
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library_name: transformers
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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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- pedromatias97/genre-recognizer-finetuned-gtzan_dset
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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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<!-- 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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# genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
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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: 0.2022
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- eval_accuracy: 0.95
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- eval_runtime: 47.9165
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- eval_samples_per_second: 2.087
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- eval_steps_per_second: 0.271
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- epoch: 4.0
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- step: 452
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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: 2e-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: 9
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.20.0
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