jonathanagustin
commited on
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Model save
Browse files- README.md +15 -5
- 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: 1.
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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:
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### Training results
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| 1.2755 | 1.57 | 800 | 1.2090 |
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| 1.251 | 1.76 | 900 | 1.2041 |
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| 1.229 | 1.96 | 1000 | 1.2159 |
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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: 1.1459
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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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### Training results
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| 1.2755 | 1.57 | 800 | 1.2090 |
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| 1.251 | 1.76 | 900 | 1.2041 |
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| 1.229 | 1.96 | 1000 | 1.2159 |
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| 1.1921 | 2.16 | 1100 | 1.1828 |
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| 1.1926 | 2.35 | 1200 | 1.2120 |
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| 1.1606 | 2.55 | 1300 | 1.1737 |
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| 1.1486 | 2.75 | 1400 | 1.1469 |
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| 1.1195 | 2.94 | 1500 | 1.1459 |
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| 1.0883 | 3.14 | 1600 | 1.1570 |
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| 1.0526 | 3.33 | 1700 | 1.1771 |
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| 1.0611 | 3.53 | 1800 | 1.1740 |
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| 1.0521 | 3.73 | 1900 | 1.1596 |
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| 1.0476 | 3.92 | 2000 | 1.1538 |
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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 435640934
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a9a6d67c8b4bb3c7d147d5f3c564897148365682b1df0dd2f15da760e0887e0
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size 435640934
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