Commit
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Parent(s):
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Model save
Browse files- README.md +14 -4
- pytorch_model.bin +1 -1
README.md
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This model was trained from scratch on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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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: 4
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| 0.9455 | 1.57 | 800 | 0.9351 |
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| 0.9322 | 1.76 | 900 | 0.9451 |
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| 0.9269 | 1.96 | 1000 | 0.9064 |
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### Framework versions
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This model was trained from scratch on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8582
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## Model description
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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: 4
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| 0.9455 | 1.57 | 800 | 0.9351 |
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| 0.9322 | 1.76 | 900 | 0.9451 |
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| 0.9269 | 1.96 | 1000 | 0.9064 |
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| 0.9105 | 2.16 | 1100 | 0.8837 |
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| 0.8805 | 2.35 | 1200 | 0.8876 |
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| 0.8703 | 2.55 | 1300 | 0.9853 |
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| 0.8699 | 2.75 | 1400 | 0.9235 |
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| 0.8633 | 2.94 | 1500 | 0.8930 |
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| 0.828 | 3.14 | 1600 | 0.8582 |
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| 0.8284 | 3.33 | 1700 | 0.9203 |
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| 0.8076 | 3.53 | 1800 | 0.8866 |
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| 0.7805 | 3.73 | 1900 | 0.9099 |
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| 0.7974 | 3.92 | 2000 | 0.8746 |
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### Framework versions
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 496295078
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1015732ab2ae348cd6ae78157b4884d85a150bd1ceb8818efefd7e812ffd881
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size 496295078
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