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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: Musixmatch/umberto-commoncrawl-cased-v1
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: target_classification_ita2
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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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+ # target_classification_ita2
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+
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+ This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3451
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+ - F1: 0.4422
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+ - Roc Auc: 0.6814
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+ - Accuracy: 0.8127
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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: 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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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.4759 | 1.0 | 897 | 0.2585 | 0.0794 | 0.5170 | 0.8093 |
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+ | 0.3547 | 2.0 | 1794 | 0.2457 | 0.2517 | 0.5753 | 0.8230 |
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+ | 0.2756 | 3.0 | 2691 | 0.2561 | 0.4138 | 0.6693 | 0.8007 |
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+ | 0.1996 | 4.0 | 3588 | 0.2704 | 0.3929 | 0.6400 | 0.8299 |
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+ | 0.1529 | 5.0 | 4485 | 0.3451 | 0.4422 | 0.6814 | 0.8127 |
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+ | 0.1057 | 6.0 | 5382 | 0.4442 | 0.3605 | 0.6279 | 0.8196 |
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+ | 0.0644 | 7.0 | 6279 | 0.4965 | 0.3858 | 0.6518 | 0.7973 |
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+ | 0.045 | 8.0 | 7176 | 0.5365 | 0.3867 | 0.6440 | 0.8179 |
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+ | 0.0328 | 9.0 | 8073 | 0.5268 | 0.4046 | 0.6478 | 0.8316 |
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+ | 0.0275 | 10.0 | 8970 | 0.5573 | 0.4044 | 0.6533 | 0.8213 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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