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T5_FineTuning

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T5 addestrato nella generazione di ricette dopo 4 epoch

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Files changed (6) hide show
  1. README.md +17 -3
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Aug03_18-33-17_08b04c56b185/events.out.tfevents.1722710024.08b04c56b185.150.0 +3 -0
  5. runs/Aug05_13-36-40_1aaca70e80ff/events.out.tfevents.1722865012.1aaca70e80ff.373.0 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -11,7 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # T5_FineTuning
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- This model was trained from scratch on an unknown dataset.
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 4
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- - eval_batch_size: 4
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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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  ### Framework versions
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  - Transformers 4.42.4
 
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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: 0.8778
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  ## Model description
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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: 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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+ ### Training results
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+
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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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+
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+
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  ### Framework versions
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  - Transformers 4.42.4
config.json CHANGED
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  {
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- "_name_or_path": "/content/drive/MyDrive/T5_FineTuning",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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  "architectures": [
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  "T5ForConditionalGeneration"
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