mbart-ts / pytorch_model.bin

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Trained on Kurier [Simple Noise Decoder-Dropout 0.1] (2 epochs)
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Trained on Kurier [dropout (0.1/0.1)] (2 epochs)
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train_on_best_data_05p
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train_on_best_data_100p
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train_on_best_data_95p
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train_on_best_data_25p
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train_on_best_data_50p
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train_on_best_data_75p
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Trained on Kurier seed 42 [low learning rate , 1000 steps]
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Trained on Kurier seed 42 + bt [fixmatch]
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Trained on Kurier seed 42 [consistency bt]
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Trained on Kurier seed 100 [consistency bt]
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Trained on Kurier seed 42 [consistency dropout]
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Trained on Kurier seed 100 [no dropout, consistency bt]
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Trained on Kurier seed 42 [no dropout, consistency bt]
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Trained on Kurier seed 100 [ft bart decoder]
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Trained on Kurier seed 42 [ft bart decoder]
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Trained on KURIER seed 100 [no dropout]
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Trained on KURIER seed 42 [no dropout]
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Trained on 20min seed 100 [no dropout]
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Trained on 20min seed 42 [no dropout]
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Trained on Kurier seed 100 [ft decoder + gaussian noise]
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Trained on Kurier seed 42 [ft decoder + gaussian noise]
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Trained on Kurier seed 42 [ft decoder]
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Trained on Kurier seed 100
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Trained on Kurier seed 42
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Retrained cross-attention (distilled layers: [r r -1] 0.75 rel) seed 100
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Retrained cross-attention (distilled layers: [r r -1] 0.75 rel) seed 100
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Retrained cross-attention (distilled layers: [r r -1] 1.0) seed 100
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Retrained cross-attention (distilled layers: [r r -1] 1.0) seed 42
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Retrained cross-attention (distilled layers: [r r -1] 0.75) seed 100
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Retrained cross-attention (distilled layers: [r r -1] 0.75) seed 42
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Retrained cross-attention (distilled layers: [r r r]) seed 100
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Retrained cross-attention (distilled layers: [r r r]) seed 42
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Retrained cross-attention (distilled layers: [0 -2 -1]) seed 100
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Retrained cross-attention (distilled layers: [0 -2 -1]) seed 42
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Retrained cross-attention (distilled layers: [-1]) seed 100
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Retrained cross-attention (distilled layers: [-1]) seed 42
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Random + pretrained cross-attention seed 100
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Random + pretrained cross-attention seed 42
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Pretrained cross-attention with normal text replication (+ bart noise)
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Regular cross-attention seed 100 [75% Data]
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Regular cross-attention seed 100 [75% Data]
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Regular cross-attention seed 42 [75% Data]
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Regular cross-attention seed 100 [50% Data]
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Regular cross-attention seed 42 [50% Data]
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Regular cross-attention seed 100 [25% Data]
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Regular cross-attention seed 42 [25% Data]
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Regular cross-attention seed 100
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Regular cross-attention seed 42
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