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- adapter_model.safetensors +1 -1
README.md
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---
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license: mit
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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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base_model: unicamp-dl/ptt5-large-t5-vocab
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model-index:
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- name: t5_large-qg-aap
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results: []
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# t5_large-qg-aap
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This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on
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It achieves the following results on the evaluation set:
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- Loss:
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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: 0.
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- train_batch_size: 128
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- eval_batch_size: 2
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- seed: 42
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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:
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### Training results
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### Framework versions
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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---
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license: mit
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base_model: unicamp-dl/ptt5-large-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_large-qg-aap
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results: []
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# t5_large-qg-aap
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This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.4208
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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: 0.003
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- train_batch_size: 128
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- eval_batch_size: 2
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- seed: 42
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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: 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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| 7.5413 | 1.0 | 404 | 8.8502 |
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| 6.7965 | 2.0 | 808 | 8.1184 |
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| 6.3963 | 3.0 | 1212 | 7.6950 |
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| 6.1664 | 4.0 | 1616 | 7.4855 |
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| 6.1028 | 5.0 | 2020 | 7.4208 |
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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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adapter_model.safetensors
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size 141073944
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