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train_log_1.txt
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0 1 2 3 4 ... 9 10 11 12 13
0 <s> The young boys are ... man is smiling nearby </s>
1 2 25 32 9 26 ... 14 12 30 1501 1
[2 rows x 14 columns]
Voc that was found in the pretrained embs: 1399
Voc that wasn't found in the pretrained embs: 101
Downloaded: Pretained Embedding matrix: torch.Size([400000, 300])
Adapted: Pretained Embedding matrix: torch.Size([1502, 300])
RNNClassifierDouble(
(embedding): Embedding(1502, 300, padding_idx=0)
(rnn): GRU(300, 400, num_layers=2, batch_first=True, dropout=0.4, bidirectional=True)
(conv): Conv1d(2, 200, kernel_size=(2000,), stride=(400,))
(relu): ReLU()
(fc1): Linear(in_features=200, out_features=3, bias=True)
(softmax): Softmax()
)
Epoch [ 1/30] | Step [ 0/4500 ( 0%)] | Loss 1.095 | Accuracy 25.00% Epoch [ 1/30] | Step [ 2/4500 ( 0%)] | Loss 1.098 | Accuracy 43.75% Epoch [ 1/30] | Step [ 400/4500 ( 36%)] | Loss 0.997 | Accuracy 52.74% Epoch [ 1/30] | Step [ 402/4500 ( 36%)] | Loss 1.070 | Accuracy 52.66% Epoch [ 1/30] | Step [ 800/4500 ( 71%)] | Loss 1.215 | Accuracy 55.24% Epoch [ 1/30] | Step [ 802/4500 ( 71%)] | Loss 0.859 | Accuracy 55.29% Epoch [ 1/30] | Step [ 1124/4500 (100%)] | Loss 0.792 | Accuracy 57.29% @ Loss_dev 1.173 | Accuracy_dev 33.20%
Epoch [ 2/30] | Step [ 0/4500 ( 0%)] | Loss 1.001 | Accuracy 62.50% Epoch [ 2/30] | Step [ 2/4500 ( 0%)] | Loss 0.917 | Accuracy 68.75% Epoch [ 2/30] | Step [ 400/4500 ( 36%)] | Loss 0.857 | Accuracy 60.26% Epoch [ 2/30] | Step [ 402/4500 ( 36%)] | Loss 0.869 | Accuracy 60.33% Epoch [ 2/30] | Step [ 800/4500 ( 71%)] | Loss 0.725 | Accuracy 61.91% Epoch [ 2/30] | Step [ 802/4500 ( 71%)] | Loss 0.866 | Accuracy 61.91% Epoch [ 2/30] | Step [ 1124/4500 (100%)] | Loss 0.945 | Accuracy 61.96% @ Loss_dev 1.151 | Accuracy_dev 35.20%
Epoch [ 3/30] | Step [ 0/4500 ( 0%)] | Loss 0.788 | Accuracy 87.50% Epoch [ 3/30] | Step [ 2/4500 ( 0%)] | Loss 1.063 | Accuracy 75.00% Epoch [ 3/30] | Step [ 400/4500 ( 36%)] | Loss 0.809 | Accuracy 65.49% Epoch [ 3/30] | Step [ 402/4500 ( 36%)] | Loss 0.937 | Accuracy 65.47% Epoch [ 3/30] | Step [ 800/4500 ( 71%)] | Loss 0.968 | Accuracy 66.08% Epoch [ 3/30] | Step [ 802/4500 ( 71%)] | Loss 1.202 | Accuracy 66.01% Epoch [ 3/30] | Step [ 1124/4500 (100%)] | Loss 0.719 | Accuracy 65.98% @ Loss_dev 1.184 | Accuracy_dev 29.40%
Epoch [ 4/30] | Step [ 0/4500 ( 0%)] | Loss 0.805 | Accuracy 62.50% Epoch [ 4/30] | Step [ 2/4500 ( 0%)] | Loss 1.186 | Accuracy 43.75% Epoch [ 4/30] | Step [ 400/4500 ( 36%)] | Loss 0.675 | Accuracy 69.03% Epoch [ 4/30] | Step [ 402/4500 ( 36%)] | Loss 0.965 | Accuracy 68.94% Epoch [ 4/30] | Step [ 800/4500 ( 71%)] | Loss 1.038 | Accuracy 68.27% Epoch [ 4/30] | Step [ 802/4500 ( 71%)] | Loss 0.735 | Accuracy 68.31% Epoch [ 4/30] | Step [ 1124/4500 (100%)] | Loss 0.917 | Accuracy 68.53% @ Loss_dev 1.089 | Accuracy_dev 48.20%
Epoch [ 5/30] | Step [ 0/4500 ( 0%)] | Loss 0.642 | Accuracy 87.50% Epoch [ 5/30] | Step [ 2/4500 ( 0%)] | Loss 0.913 | Accuracy 81.25% Epoch [ 5/30] | Step [ 400/4500 ( 36%)] | Loss 0.865 | Accuracy 73.20% Epoch [ 5/30] | Step [ 402/4500 ( 36%)] | Loss 0.665 | Accuracy 73.27% Epoch [ 5/30] | Step [ 800/4500 ( 71%)] | Loss 0.594 | Accuracy 71.57% Epoch [ 5/30] | Step [ 802/4500 ( 71%)] | Loss 0.948 | Accuracy 71.55% Epoch [ 5/30] | Step [ 1124/4500 (100%)] | Loss 1.055 | Accuracy 71.42% @ Loss_dev 1.102 | Accuracy_dev 44.60%
Epoch [ 6/30] | Step [ 0/4500 ( 0%)] | Loss 0.555 | Accuracy 100.00% Epoch [ 6/30] | Step [ 2/4500 ( 0%)] | Loss 0.627 | Accuracy 100.00% Epoch [ 6/30] | Step [ 400/4500 ( 36%)] | Loss 0.830 | Accuracy 76.06% Epoch [ 6/30] | Step [ 402/4500 ( 36%)] | Loss 0.787 | Accuracy 76.05% Epoch [ 6/30] | Step [ 800/4500 ( 71%)] | Loss 0.745 | Accuracy 75.25% Epoch [ 6/30] | Step [ 802/4500 ( 71%)] | Loss 0.673 | Accuracy 75.28% Epoch [ 6/30] | Step [ 1124/4500 (100%)] | Loss 0.822 | Accuracy 75.33% @ Loss_dev 1.117 | Accuracy_dev 42.20%
Epoch [ 7/30] | Step [ 0/4500 ( 0%)] | Loss 0.768 | Accuracy 75.00% Epoch [ 7/30] | Step [ 2/4500 ( 0%)] | Loss 0.641 | Accuracy 81.25% Epoch [ 7/30] | Step [ 400/4500 ( 36%)] | Loss 0.834 | Accuracy 79.23% Epoch [ 7/30] | Step [ 402/4500 ( 36%)] | Loss 0.687 | Accuracy 79.27% Epoch [ 7/30] | Step [ 800/4500 ( 71%)] | Loss 0.926 | Accuracy 78.30% Epoch [ 7/30] | Step [ 802/4500 ( 71%)] | Loss 0.580 | Accuracy 78.36% Epoch [ 7/30] | Step [ 1124/4500 (100%)] | Loss 0.583 | Accuracy 78.24% @ Loss_dev 1.094 | Accuracy_dev 42.80%
Epoch [ 8/30] | Step [ 0/4500 ( 0%)] | Loss 0.714 | Accuracy 87.50% Epoch [ 8/30] | Step [ 2/4500 ( 0%)] | Loss 0.646 | Accuracy 87.50% Epoch [ 8/30] | Step [ 400/4500 ( 36%)] | Loss 1.055 | Accuracy 80.41% Epoch [ 8/30] | Step [ 402/4500 ( 36%)] | Loss 0.604 | Accuracy 80.51% Epoch [ 8/30] | Step [ 800/4500 ( 71%)] | Loss 0.703 | Accuracy 80.61% Epoch [ 8/30] | Step [ 802/4500 ( 71%)] | Loss 0.870 | Accuracy 80.57% Epoch [ 8/30] | Step [ 1124/4500 (100%)] | Loss 0.553 | Accuracy 80.49% @ Loss_dev 1.083 | Accuracy_dev 44.20%
Epoch [ 9/30] | Step [ 0/4500 ( 0%)] | Loss 0.697 | Accuracy 75.00% Epoch [ 9/30] | Step [ 2/4500 ( 0%)] | Loss 0.728 | Accuracy 81.25% Epoch [ 9/30] | Step [ 400/4500 ( 36%)] | Loss 0.898 | Accuracy 81.84% Epoch [ 9/30] | Step [ 402/4500 ( 36%)] | Loss 0.578 | Accuracy 81.93% Epoch [ 9/30] | Step [ 800/4500 ( 71%)] | Loss 0.639 | Accuracy 81.98% Epoch [ 9/30] | Step [ 802/4500 ( 71%)] | Loss 0.560 | Accuracy 82.03% Epoch [ 9/30] | Step [ 1124/4500 (100%)] | Loss 0.731 | Accuracy 82.31% @ Loss_dev 1.069 | Accuracy_dev 46.00%
Epoch [ 10/30] | Step [ 0/4500 ( 0%)] | Loss 0.629 | Accuracy 87.50% Epoch [ 10/30] | Step [ 2/4500 ( 0%)] | Loss 0.748 | Accuracy 81.25% Epoch [ 10/30] | Step [ 400/4500 ( 36%)] | Loss 0.674 | Accuracy 85.45% Epoch [ 10/30] | Step [ 402/4500 ( 36%)] | Loss 0.790 | Accuracy 85.40% Epoch [ 10/30] | Step [ 800/4500 ( 71%)] | Loss 0.856 | Accuracy 84.98% Epoch [ 10/30] | Step [ 802/4500 ( 71%)] | Loss 0.597 | Accuracy 85.01% Epoch [ 10/30] | Step [ 1124/4500 (100%)] | Loss 0.590 | Accuracy 85.36% @ Loss_dev 1.074 | Accuracy_dev 47.60%
Epoch [ 11/30] | Step [ 0/4500 ( 0%)] | Loss 0.597 | Accuracy 100.00% Epoch [ 11/30] | Step [ 2/4500 ( 0%)] | Loss 0.757 | Accuracy 93.75% Epoch [ 11/30] | Step [ 400/4500 ( 36%)] | Loss 0.724 | Accuracy 86.01% Epoch [ 11/30] | Step [ 402/4500 ( 36%)] | Loss 0.681 | Accuracy 86.01% Epoch [ 11/30] | Step [ 800/4500 ( 71%)] | Loss 0.576 | Accuracy 86.10% Epoch [ 11/30] | Step [ 802/4500 ( 71%)] | Loss 0.833 | Accuracy 86.07% Epoch [ 11/30] | Step [ 1124/4500 (100%)] | Loss 0.833 | Accuracy 86.09% @ Loss_dev 1.084 | Accuracy_dev 48.80%
Epoch [ 12/30] | Step [ 0/4500 ( 0%)] | Loss 1.105 | Accuracy 50.00% Epoch [ 12/30] | Step [ 2/4500 ( 0%)] | Loss 0.552 | Accuracy 75.00% Epoch [ 12/30] | Step [ 400/4500 ( 36%)] | Loss 0.927 | Accuracy 88.37% Epoch [ 12/30] | Step [ 402/4500 ( 36%)] | Loss 0.675 | Accuracy 88.37% Epoch [ 12/30] | Step [ 800/4500 ( 71%)] | Loss 0.653 | Accuracy 87.72% Epoch [ 12/30] | Step [ 802/4500 ( 71%)] | Loss 0.635 | Accuracy 87.72% Epoch [ 12/30] | Step [ 1124/4500 (100%)] | Loss 0.590 | Accuracy 87.62% @ Loss_dev 1.089 | Accuracy_dev 46.60%
Epoch [ 13/30] | Step [ 0/4500 ( 0%)] | Loss 0.554 | Accuracy 100.00% Epoch [ 13/30] | Step [ 2/4500 ( 0%)] | Loss 0.559 | Accuracy 100.00% Epoch [ 13/30] | Step [ 400/4500 ( 36%)] | Loss 0.716 | Accuracy 88.93% Epoch [ 13/30] | Step [ 402/4500 ( 36%)] | Loss 0.841 | Accuracy 88.86% Epoch [ 13/30] | Step [ 800/4500 ( 71%)] | Loss 0.669 | Accuracy 88.90% Epoch [ 13/30] | Step [ 802/4500 ( 71%)] | Loss 0.709 | Accuracy 88.90% Epoch [ 13/30] | Step [ 1124/4500 (100%)] | Loss 0.843 | Accuracy 88.02% @ Loss_dev 1.069 | Accuracy_dev 48.60%
Epoch [ 14/30] | Step [ 0/4500 ( 0%)] | Loss 0.552 | Accuracy 100.00% Epoch [ 14/30] | Step [ 2/4500 ( 0%)] | Loss 0.553 | Accuracy 100.00% Epoch [ 14/30] | Step [ 400/4500 ( 36%)] | Loss 0.560 | Accuracy 88.93% Epoch [ 14/30] | Step [ 402/4500 ( 36%)] | Loss 0.723 | Accuracy 88.92% Epoch [ 14/30] | Step [ 800/4500 ( 71%)] | Loss 0.722 | Accuracy 89.12% Epoch [ 14/30] | Step [ 802/4500 ( 71%)] | Loss 0.636 | Accuracy 89.12% Epoch [ 14/30] | Step [ 1124/4500 (100%)] | Loss 0.566 | Accuracy 89.20% @ Loss_dev 1.069 | Accuracy_dev 48.80%
Epoch [ 15/30] | Step [ 0/4500 ( 0%)] | Loss 0.569 | Accuracy 100.00% Epoch [ 15/30] | Step [ 2/4500 ( 0%)] | Loss 0.650 | Accuracy 93.75% Epoch [ 15/30] | Step [ 400/4500 ( 36%)] | Loss 0.569 | Accuracy 90.86% Epoch [ 15/30] | Step [ 402/4500 ( 36%)] | Loss 0.565 | Accuracy 90.90% Epoch [ 15/30] | Step [ 800/4500 ( 71%)] | Loss 0.728 | Accuracy 89.81% Epoch [ 15/30] | Step [ 802/4500 ( 71%)] | Loss 0.552 | Accuracy 89.83% Epoch [ 15/30] | Step [ 1124/4500 (100%)] | Loss 0.566 | Accuracy 90.18% @ Loss_dev 1.071 | Accuracy_dev 49.80%
Epoch [ 16/30] | Step [ 0/4500 ( 0%)] | Loss 0.653 | Accuracy 87.50% Epoch [ 16/30] | Step [ 2/4500 ( 0%)] | Loss 0.552 | Accuracy 93.75% Epoch [ 16/30] | Step [ 400/4500 ( 36%)] | Loss 0.579 | Accuracy 91.60% Epoch [ 16/30] | Step [ 402/4500 ( 36%)] | Loss 0.553 | Accuracy 91.65% Epoch [ 16/30] | Step [ 800/4500 ( 71%)] | Loss 0.553 | Accuracy 91.43% Epoch [ 16/30] | Step [ 802/4500 ( 71%)] | Loss 0.710 | Accuracy 91.42% Epoch [ 16/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 91.42% @ Loss_dev 1.060 | Accuracy_dev 50.20%
Epoch [ 17/30] | Step [ 0/4500 ( 0%)] | Loss 0.728 | Accuracy 87.50% Epoch [ 17/30] | Step [ 2/4500 ( 0%)] | Loss 0.586 | Accuracy 93.75% Epoch [ 17/30] | Step [ 400/4500 ( 36%)] | Loss 0.796 | Accuracy 91.67% Epoch [ 17/30] | Step [ 402/4500 ( 36%)] | Loss 0.554 | Accuracy 91.71% Epoch [ 17/30] | Step [ 800/4500 ( 71%)] | Loss 0.638 | Accuracy 91.18% Epoch [ 17/30] | Step [ 802/4500 ( 71%)] | Loss 0.552 | Accuracy 91.20% Epoch [ 17/30] | Step [ 1124/4500 (100%)] | Loss 1.036 | Accuracy 91.11% @ Loss_dev 1.062 | Accuracy_dev 52.80%
Epoch [ 18/30] | Step [ 0/4500 ( 0%)] | Loss 0.553 | Accuracy 100.00% Epoch [ 18/30] | Step [ 2/4500 ( 0%)] | Loss 0.800 | Accuracy 87.50% Epoch [ 18/30] | Step [ 400/4500 ( 36%)] | Loss 0.789 | Accuracy 93.97% Epoch [ 18/30] | Step [ 402/4500 ( 36%)] | Loss 0.552 | Accuracy 94.00% Epoch [ 18/30] | Step [ 800/4500 ( 71%)] | Loss 0.709 | Accuracy 92.71% Epoch [ 18/30] | Step [ 802/4500 ( 71%)] | Loss 0.654 | Accuracy 92.69% Epoch [ 18/30] | Step [ 1124/4500 (100%)] | Loss 0.551 | Accuracy 92.20% @ Loss_dev 1.070 | Accuracy_dev 48.60%
Epoch [ 19/30] | Step [ 0/4500 ( 0%)] | Loss 0.909 | Accuracy 75.00% Epoch [ 19/30] | Step [ 2/4500 ( 0%)] | Loss 0.553 | Accuracy 87.50% Epoch [ 19/30] | Step [ 400/4500 ( 36%)] | Loss 0.552 | Accuracy 92.66% Epoch [ 19/30] | Step [ 402/4500 ( 36%)] | Loss 0.752 | Accuracy 92.64% Epoch [ 19/30] | Step [ 800/4500 ( 71%)] | Loss 0.567 | Accuracy 92.55% Epoch [ 19/30] | Step [ 802/4500 ( 71%)] | Loss 0.902 | Accuracy 92.51% Epoch [ 19/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 92.27% @ Loss_dev 1.086 | Accuracy_dev 46.00%
Epoch [ 20/30] | Step [ 0/4500 ( 0%)] | Loss 0.558 | Accuracy 100.00% Epoch [ 20/30] | Step [ 2/4500 ( 0%)] | Loss 0.711 | Accuracy 93.75% Epoch [ 20/30] | Step [ 400/4500 ( 36%)] | Loss 0.552 | Accuracy 93.72% Epoch [ 20/30] | Step [ 402/4500 ( 36%)] | Loss 0.697 | Accuracy 93.69% Epoch [ 20/30] | Step [ 800/4500 ( 71%)] | Loss 0.728 | Accuracy 93.20% Epoch [ 20/30] | Step [ 802/4500 ( 71%)] | Loss 0.656 | Accuracy 93.19% Epoch [ 20/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 92.47% @ Loss_dev 1.090 | Accuracy_dev 48.80%
Epoch [ 21/30] | Step [ 0/4500 ( 0%)] | Loss 0.552 | Accuracy 100.00% Epoch [ 21/30] | Step [ 2/4500 ( 0%)] | Loss 0.651 | Accuracy 93.75% Epoch [ 21/30] | Step [ 400/4500 ( 36%)] | Loss 0.551 | Accuracy 93.41% Epoch [ 21/30] | Step [ 402/4500 ( 36%)] | Loss 0.738 | Accuracy 93.38% Epoch [ 21/30] | Step [ 800/4500 ( 71%)] | Loss 0.633 | Accuracy 92.77% Epoch [ 21/30] | Step [ 802/4500 ( 71%)] | Loss 0.554 | Accuracy 92.79% Epoch [ 21/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 92.24% @ Loss_dev 1.097 | Accuracy_dev 47.60%
Epoch [ 22/30] | Step [ 0/4500 ( 0%)] | Loss 0.551 | Accuracy 100.00% Epoch [ 22/30] | Step [ 2/4500 ( 0%)] | Loss 0.611 | Accuracy 93.75% Epoch [ 22/30] | Step [ 400/4500 ( 36%)] | Loss 0.551 | Accuracy 93.22% Epoch [ 22/30] | Step [ 402/4500 ( 36%)] | Loss 0.650 | Accuracy 93.19% Epoch [ 22/30] | Step [ 800/4500 ( 71%)] | Loss 0.552 | Accuracy 93.45% Epoch [ 22/30] | Step [ 802/4500 ( 71%)] | Loss 0.555 | Accuracy 93.47% Epoch [ 22/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 93.09% @ Loss_dev 1.075 | Accuracy_dev 51.80%
Epoch [ 23/30] | Step [ 0/4500 ( 0%)] | Loss 0.641 | Accuracy 87.50% Epoch [ 23/30] | Step [ 2/4500 ( 0%)] | Loss 0.702 | Accuracy 87.50% Epoch [ 23/30] | Step [ 400/4500 ( 36%)] | Loss 0.713 | Accuracy 93.35% Epoch [ 23/30] | Step [ 402/4500 ( 36%)] | Loss 0.553 | Accuracy 93.38% Epoch [ 23/30] | Step [ 800/4500 ( 71%)] | Loss 0.700 | Accuracy 93.39% Epoch [ 23/30] | Step [ 802/4500 ( 71%)] | Loss 0.553 | Accuracy 93.41% Epoch [ 23/30] | Step [ 1124/4500 (100%)] | Loss 0.563 | Accuracy 93.40% @ Loss_dev 1.085 | Accuracy_dev 51.40%
Epoch [ 24/30] | Step [ 0/4500 ( 0%)] | Loss 0.551 | Accuracy 100.00% Epoch [ 24/30] | Step [ 2/4500 ( 0%)] | Loss 0.556 | Accuracy 100.00% Epoch [ 24/30] | Step [ 400/4500 ( 36%)] | Loss 0.559 | Accuracy 94.90% Epoch [ 24/30] | Step [ 402/4500 ( 36%)] | Loss 0.551 | Accuracy 94.93% Epoch [ 24/30] | Step [ 800/4500 ( 71%)] | Loss 0.552 | Accuracy 94.36% Epoch [ 24/30] | Step [ 802/4500 ( 71%)] | Loss 0.770 | Accuracy 94.31% Epoch [ 24/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 93.67% @ Loss_dev 1.085 | Accuracy_dev 50.60%
Epoch [ 25/30] | Step [ 0/4500 ( 0%)] | Loss 0.669 | Accuracy 87.50% Epoch [ 25/30] | Step [ 2/4500 ( 0%)] | Loss 0.649 | Accuracy 87.50% Epoch [ 25/30] | Step [ 400/4500 ( 36%)] | Loss 0.673 | Accuracy 94.15% Epoch [ 25/30] | Step [ 402/4500 ( 36%)] | Loss 0.552 | Accuracy 94.18% Epoch [ 25/30] | Step [ 800/4500 ( 71%)] | Loss 0.553 | Accuracy 94.45% Epoch [ 25/30] | Step [ 802/4500 ( 71%)] | Loss 0.552 | Accuracy 94.47% Epoch [ 25/30] | Step [ 1124/4500 (100%)] | Loss 0.946 | Accuracy 94.02% @ Loss_dev 1.108 | Accuracy_dev 43.80%
Epoch [ 26/30] | Step [ 0/4500 ( 0%)] | Loss 0.551 | Accuracy 100.00% Epoch [ 26/30] | Step [ 2/4500 ( 0%)] | Loss 0.635 | Accuracy 93.75% Epoch [ 26/30] | Step [ 400/4500 ( 36%)] | Loss 0.553 | Accuracy 93.84% Epoch [ 26/30] | Step [ 402/4500 ( 36%)] | Loss 0.590 | Accuracy 93.81% Epoch [ 26/30] | Step [ 800/4500 ( 71%)] | Loss 0.562 | Accuracy 94.17% Epoch [ 26/30] | Step [ 802/4500 ( 71%)] | Loss 0.584 | Accuracy 94.19% Epoch [ 26/30] | Step [ 1124/4500 (100%)] | Loss 0.556 | Accuracy 94.16% @ Loss_dev 1.074 | Accuracy_dev 51.80%
Epoch [ 27/30] | Step [ 0/4500 ( 0%)] | Loss 0.553 | Accuracy 100.00% Epoch [ 27/30] | Step [ 2/4500 ( 0%)] | Loss 0.554 | Accuracy 100.00% Epoch [ 27/30] | Step [ 400/4500 ( 36%)] | Loss 0.552 | Accuracy 94.71% Epoch [ 27/30] | Step [ 402/4500 ( 36%)] | Loss 0.876 | Accuracy 94.55% Epoch [ 27/30] | Step [ 800/4500 ( 71%)] | Loss 0.707 | Accuracy 94.23% Epoch [ 27/30] | Step [ 802/4500 ( 71%)] | Loss 0.562 | Accuracy 94.25% Epoch [ 27/30] | Step [ 1124/4500 (100%)] | Loss 0.551 | Accuracy 94.13% @ Loss_dev 1.075 | Accuracy_dev 50.60%
Epoch [ 28/30] | Step [ 0/4500 ( 0%)] | Loss 0.552 | Accuracy 100.00% Epoch [ 28/30] | Step [ 2/4500 ( 0%)] | Loss 0.551 | Accuracy 100.00% Epoch [ 28/30] | Step [ 400/4500 ( 36%)] | Loss 0.553 | Accuracy 94.40% Epoch [ 28/30] | Step [ 402/4500 ( 36%)] | Loss 0.551 | Accuracy 94.43% Epoch [ 28/30] | Step [ 800/4500 ( 71%)] | Loss 0.559 | Accuracy 94.08% Epoch [ 28/30] | Step [ 802/4500 ( 71%)] | Loss 0.755 | Accuracy 94.06% Epoch [ 28/30] | Step [ 1124/4500 (100%)] | Loss 0.551 | Accuracy 94.16% @ Loss_dev 1.081 | Accuracy_dev 51.80%
Epoch [ 29/30] | Step [ 0/4500 ( 0%)] | Loss 0.654 | Accuracy 87.50% Epoch [ 29/30] | Step [ 2/4500 ( 0%)] | Loss 0.711 | Accuracy 87.50% Epoch [ 29/30] | Step [ 400/4500 ( 36%)] | Loss 0.552 | Accuracy 93.22% Epoch [ 29/30] | Step [ 402/4500 ( 36%)] | Loss 0.552 | Accuracy 93.25% Epoch [ 29/30] | Step [ 800/4500 ( 71%)] | Loss 0.552 | Accuracy 93.80% Epoch [ 29/30] | Step [ 802/4500 ( 71%)] | Loss 0.721 | Accuracy 93.78% Epoch [ 29/30] | Step [ 1124/4500 (100%)] | Loss 0.551 | Accuracy 94.13% @ Loss_dev 1.071 | Accuracy_dev 49.60%
Epoch [ 30/30] | Step [ 0/4500 ( 0%)] | Loss 0.551 | Accuracy 100.00% Epoch [ 30/30] | Step [ 2/4500 ( 0%)] | Loss 0.648 | Accuracy 93.75% Epoch [ 30/30] | Step [ 400/4500 ( 36%)] | Loss 0.860 | Accuracy 94.28% Epoch [ 30/30] | Step [ 402/4500 ( 36%)] | Loss 0.551 | Accuracy 94.31% Epoch [ 30/30] | Step [ 800/4500 ( 71%)] | Loss 0.551 | Accuracy 94.58% Epoch [ 30/30] | Step [ 802/4500 ( 71%)] | Loss 0.551 | Accuracy 94.59% Epoch [ 30/30] | Step [ 1124/4500 (100%)] | Loss 0.552 | Accuracy 94.42% @ Loss_dev 1.095 | Accuracy_dev 47.00%
Learning finished!
- in 1022.01 s
=> loaded checkpoint epoch 17
Predicted
True NEUTRAL ENTAILMENT CONTRADICTION
NEUTRAL 0.7 0.2 0.0
ENTAILMENT 0.6 0.4 0.0
CONTRADICTION 0.6 0.4 0.0
Accuracy: 0.5280
Precision Recall Fscore
NEUTRAL 0.622024 0.741135 0.676375
ENTAILMENT 0.342105 0.361111 0.351351
CONTRADICTION 0.250000 0.040541 0.069767
Predicted
True NEUTRAL ENTAILMENT CONTRADICTION
NEUTRAL 0.8 0.1 0.1
ENTAILMENT 0.6 0.2 0.1
CONTRADICTION 0.6 0.3 0.1
Accuracy: 0.5393
Precision Recall Fscore
NEUTRAL 0.624580 0.798783 0.701021
ENTAILMENT 0.365217 0.237624 0.287918
CONTRADICTION 0.206897 0.125000 0.155844