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T5 addestrato nella generazione di ricette

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README.md ADDED
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+ ---
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+ base_model: moro01525/T5_MLM
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: T5_FineTuning
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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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+ # T5_FineTuning
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+
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+ This model is a fine-tuned version of [moro01525/T5_MLM](https://huggingface.co/moro01525/T5_MLM) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9894
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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: 4
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+ - eval_batch_size: 8
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+ - seed: 55
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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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3096 | 0.2 | 1500 | 1.0544 |
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+ | 1.1176 | 0.4 | 3000 | 1.0182 |
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+ | 1.0893 | 0.6 | 4500 | 1.0016 |
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+ | 1.0662 | 0.8 | 6000 | 0.9919 |
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+ | 1.0432 | 1.0 | 7500 | 0.9894 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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