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I follow the instructions but I cannot reproduce the results on wmt14 ende. With the provided generation script I only got BLEU4 = 16.65, 48.6/22.0/11.4/6.3 (BP=1.000, ratio=1.014, syslen=65432, reflen=64506)
After re-ranking with an AT model, I got BLEU4 = 19.93, 52.2/25.6/14.2/8.3 (BP=1.000, ratio=1.013, syslen=65313, reflen=64506)
Still far from 26.55 as reported in the paper.
I use the provided training script and train the model on 8 V100 GPUs. The training log shows that the glat accuracy is pretty high at the end of training. epoch 151: 1050 / 1993 loss=3.323, nll_loss=1.371, glat_accu=0.758, glat_keep=0.073, glat_context_p=0.3, word_ins=3.162, length=3.223, ppl=10.01, wps=132588, ups=2.16, wpb=61302.6, bsz=2018.2, num_updates=300000, lr=5.7735e-05, gnorm=1.455, clip=0, train_wall=46, gb_free=6.8, wall=139238
But the valid loss is also very high. valid | epoch 151 | valid on 'valid' subset | loss 7.412 | nll_loss 5.888 | glat_accu 0 | glat_keep 0 | glat_context_p 0 | word_ins 7.252 | length 3.209 | ppl 170.31 | wps 242820 | wpb 41551 | bsz 1500 | num_updates 300000 | best_loss 6.511
The text was updated successfully, but these errors were encountered:
I follow the instructions but I cannot reproduce the results on wmt14 ende. With the provided generation script I only got
BLEU4 = 16.65, 48.6/22.0/11.4/6.3 (BP=1.000, ratio=1.014, syslen=65432, reflen=64506)
After re-ranking with an AT model, I got
BLEU4 = 19.93, 52.2/25.6/14.2/8.3 (BP=1.000, ratio=1.013, syslen=65313, reflen=64506)
Still far from 26.55 as reported in the paper.
I use the provided training script and train the model on 8 V100 GPUs. The training log shows that the glat accuracy is pretty high at the end of training.
epoch 151: 1050 / 1993 loss=3.323, nll_loss=1.371, glat_accu=0.758, glat_keep=0.073, glat_context_p=0.3, word_ins=3.162, length=3.223, ppl=10.01, wps=132588, ups=2.16, wpb=61302.6, bsz=2018.2, num_updates=300000, lr=5.7735e-05, gnorm=1.455, clip=0, train_wall=46, gb_free=6.8, wall=139238
But the valid loss is also very high.
valid | epoch 151 | valid on 'valid' subset | loss 7.412 | nll_loss 5.888 | glat_accu 0 | glat_keep 0 | glat_context_p 0 | word_ins 7.252 | length 3.209 | ppl 170.31 | wps 242820 | wpb 41551 | bsz 1500 | num_updates 300000 | best_loss 6.511
The text was updated successfully, but these errors were encountered: