T5 addestrato nella generazione di ricette dopo 3 epoch
Browse files- README.md +3 -24
- config.json +1 -1
- model.safetensors +1 -1
- runs/Aug04_15-39-16_d06c3c072175/events.out.tfevents.1722785959.d06c3c072175.791.0 +3 -0
- training_args.bin +1 -1
README.md
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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
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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 hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size:
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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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| 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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- Transformers 4.42.4
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---
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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 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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config.json
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{
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"_name_or_path": "
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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": "/content/drive/MyDrive/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_15-39-16_d06c3c072175/events.out.tfevents.1722785959.d06c3c072175.791.0
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training_args.bin
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