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README.md
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---
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{}
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---
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Model description:
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Model: pgajo/mbert-xlwa-en-it
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Dataset: TASTEset
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Unshuffled ratio: ['0']
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Shuffled ratio: ['1']
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Best exact match epoch: 7
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Best exact match: 92.03
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Best epoch: 7
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Drop duplicates: ['1']
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Max epochs = 10
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Optimizer lr = 3e-05
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Optimizer eps = 1e-08
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Batch size = 32
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Dataset path = pgajo/EW-TT-PE_U0_S1_Tingredient_P0.75_DROP1_mbert
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Results
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| epoch | train_loss | train_f1 | train_exact | dev_loss | dev_f1 | dev_exact | test_loss | test_f1 | test_exact |
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|--------:|-------------:|-----------:|--------------:|-----------:|---------:|------------:|------------:|----------:|-------------:|
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| 1 | 0.77 | 79.53 | 64.94 | 0.37 | 91.6 | 84.62 | 0 | 0 | 0 |
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| 2 | 0.2 | 94.44 | 89.6 | 0.33 | 94.44 | 90.11 | 0 | 0 | 0 |
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| 3 | 0.09 | 97.64 | 95.59 | 0.4 | 92.83 | 89.01 | 0 | 0 | 0 |
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| 4 | 0.05 | 98.68 | 97.38 | 0.36 | 94.19 | 90.11 | 0 | 0 | 0 |
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| 5 | 0.03 | 99.32 | 98.42 | 0.35 | 94.34 | 90.38 | 0 | 0 | 0 |
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| 6 | 0.04 | 98.92 | 98.14 | 0.42 | 95 | 90.38 | 0 | 0 | 0 |
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| 7 | 0.02 | 99.38 | 98.9 | 0.43 | 94.68 | 92.03 | 0 | 0 | 0 |
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| 8 | 0.01 | 99.59 | 99.31 | 0.39 | 94.85 | 90.93 | 0 | 0 | 0 |
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| 9 | 0.02 | 99.77 | 99.72 | 0.42 | 94.61 | 91.21 | 0 | 0 | 0 |
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| 10 | 0.02 | 99.18 | 98.55 | 0.42 | 95.15 | 91.76 | 0 | 0 | 0 |
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