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Model save
Browse files- README.md +13 -13
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README.md
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base_model: unicamp-dl/ptt5-base-t5-vocab
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tags:
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- generated_from_trainer
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datasets:
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- tiagoblima/qg_squad_v1_pt
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model-index:
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- name: t5_base-qg-ap-nopeft
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results: []
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# t5_base-qg-ap-nopeft
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This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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base_model: unicamp-dl/ptt5-base-t5-vocab
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tags:
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- generated_from_trainer
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model-index:
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- name: t5_base-qg-ap-nopeft
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results: []
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# t5_base-qg-ap-nopeft
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This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2074
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.1634 | 1.0 | 3231 | 1.2246 |
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| 1.0645 | 2.0 | 6463 | 1.2035 |
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| 0.991 | 3.0 | 9694 | 1.1980 |
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| 0.9459 | 4.0 | 12926 | 1.2027 |
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| 0.9191 | 5.0 | 16155 | 1.2074 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.0
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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