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T5_FineTuning

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T5 addestrato nella generazione di ricette dopo 5 epoch

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Aug05_14-25-48_1aaca70e80ff/events.out.tfevents.1722867970.1aaca70e80ff.373.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [moro01525/T5_FineTuning](https://huggingface.co/moro01525/T5_FineTuning) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8778
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  ## Model description
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@@ -45,11 +45,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.9561 | 0.1818 | 1500 | 0.8872 |
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- | 0.935 | 0.3636 | 3000 | 0.8838 |
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- | 0.9469 | 0.5455 | 4500 | 0.8809 |
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- | 0.9377 | 0.7273 | 6000 | 0.8794 |
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- | 0.9294 | 0.9091 | 7500 | 0.8778 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [moro01525/T5_FineTuning](https://huggingface.co/moro01525/T5_FineTuning) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8659
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.9318 | 0.1818 | 1500 | 0.8757 |
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+ | 0.9498 | 0.3636 | 3000 | 0.8712 |
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+ | 0.9157 | 0.5455 | 4500 | 0.8683 |
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+ | 0.9177 | 0.7273 | 6000 | 0.8672 |
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+ | 0.9295 | 0.9091 | 7500 | 0.8659 |
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  ### Framework versions
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