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Model save
Browse files- README.md +3 -9
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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base_model: unicamp-dl/ptt5-small-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_small-qg-ctx-a
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results: []
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# t5_small-qg-ctx-a
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This model is a fine-tuned version of [unicamp-dl/ptt5-small-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-small-t5-vocab) on
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It achieves the following results on the evaluation set:
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- Loss: 1.4559
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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: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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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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base_model: unicamp-dl/ptt5-small-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_small-qg-ctx-a
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results: []
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# t5_small-qg-ctx-a
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This model is a fine-tuned version of [unicamp-dl/ptt5-small-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-small-t5-vocab) on an unknown dataset.
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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: 64
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- eval_batch_size: 8
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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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model.safetensors
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training_args.bin
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