T5 addestrato nella generazione di ricette dopo 2 epoch
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README.md
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---
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base_model: moro01525/
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tags:
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- generated_from_trainer
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model-index:
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# T5_FineTuning
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This model is a fine-tuned version of [moro01525/
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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---
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base_model: moro01525/T5_FineTuning
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tags:
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- generated_from_trainer
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model-index:
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# T5_FineTuning
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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: 0.9083
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 1.0593 | 0.0780 | 1500 | 0.9724 |
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| 1.0372 | 0.1560 | 3000 | 0.9577 |
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| 0.9998 | 0.2340 | 4500 | 0.9462 |
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| 1.0283 | 0.3120 | 6000 | 0.9380 |
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| 0.9937 | 0.3900 | 7500 | 0.9302 |
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| 0.9964 | 0.4680 | 9000 | 0.9246 |
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| 0.976 | 0.5461 | 10500 | 0.9196 |
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| 0.9768 | 0.6241 | 12000 | 0.9158 |
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| 0.9591 | 0.7021 | 13500 | 0.9130 |
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| 0.9719 | 0.7801 | 15000 | 0.9111 |
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| 0.9695 | 0.8581 | 16500 | 0.9096 |
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| 0.9774 | 0.9361 | 18000 | 0.9083 |
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### Framework versions
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config.json
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{
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"_name_or_path": "moro01525/
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "moro01525/T5_FineTuning",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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model.safetensors
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runs/Aug04_08-17-24_145c94738271/events.out.tfevents.1722759454.145c94738271.760.0
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training_args.bin
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