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TextCNNOutput.txt
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arunarn2@timan107:~/geoDL-master$ python main.py -d datasets/cmu
Using TensorFlow backend.
05/09/2018 07:39:40 AM 'pattern' package not found; tag filters are not available for English
05/09/2018 07:39:40 AM dataset: cmu
05/09/2018 07:39:40 AM loading dataset...
05/09/2018 07:39:40 AM loading the dataset from datasets/cmu
Using states
05/09/2018 07:39:41 AM <data.SequenceVectorizer instance at 0x7feb1620c908>
05/09/2018 07:39:52 AM SequenceVectorizer maxlen:5000, #words:306247, most common words:0
05/09/2018 07:39:52 AM Fitting SequenceVectorizer in 1850 texts
05/09/2018 07:39:53 AM Fitting SequenceVectorizer in 1857 texts
05/09/2018 07:39:55 AM training n_samples: 5529, n_features: 5000
05/09/2018 07:39:55 AM development n_samples: 1850, n_features: 5000
05/09/2018 07:39:55 AM test n_samples: 1857, n_features: 5000
('cache_path:', 'cache_vocabulary_label_pik/cnn2_word_vocabulary.pik', 'file_exists:', True)
05/09/2018 07:39:57 AM cnn_model.vocab_size: 400002
05/09/2018 07:39:57 AM Initializing model: TextCNN
2018-05-09 07:39:57.789059: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-05-09 07:39:57.789082: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-05-09 07:39:57.789089: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-05-09 07:39:57.789095: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-05-09 07:39:57.789100: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2018-05-09 07:39:59.386526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:89:00.0
Total memory: 7.92GiB
Free memory: 7.80GiB
2018-05-09 07:39:59.386594: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2018-05-09 07:39:59.386604: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2018-05-09 07:39:59.386624: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:89:00.0)
Initializing Variables
('using pre-trained word emebedding.started.word2vec_model_path:', 'glove.6B.300d.word2vec.txt')
05/09/2018 07:40:07 AM loading projection weights from glove.6B.300d.word2vec.txt
05/09/2018 07:42:02 AM loaded (400001, 300) matrix from glove.6B.300d.word2vec.txt
word_embedding_final (400002, 300) <type 'numpy.ndarray'>
('word. exists embedding:', 390035, ' ; word not exist embedding:', 9966)
using pre-trained word emebedding.ended...
Feed data and Train
Epoch 0 Counter 50 Train Loss:861.7655 Train Accuracy:0.1013
2018-05-09 08:02:41.261958: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:247] PoolAllocator: After 8127 get requests, put_count=8114 evicted_count=1000 eviction_rate=0.123244 and unsatisfied allocation rate=0.136951
2018-05-09 08:02:41.262021: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:259] Raising pool_size_limit_ from 100 to 110
Epoch 0 Counter 100 Train Loss:797.8489 Train Accuracy:0.1131
Epoch 0 Counter 150 Train Loss:743.7137 Train Accuracy:0.1183
Epoch 0 Counter 200 Train Loss:696.8898 Train Accuracy:0.1191
Epoch 0 Counter 250 Train Loss:656.0397 Train Accuracy:0.1207
Epoch 0 Counter 300 Train Loss:619.9990 Train Accuracy:0.1240
05/09/2018 08:07:08 AM Incrementing epoch counter....
05/09/2018 08:07:08 AM Evaluating on Dev set ....
('Epoch: 0/1000', 'Dev Loss: 357.4695', 'Dev Acc: 0.2701')
05/09/2018 08:07:24 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 1 Counter 50 Train Loss:344.0953 Train Accuracy:0.1787
Epoch 1 Counter 100 Train Loss:325.5056 Train Accuracy:0.1787
Epoch 1 Counter 150 Train Loss:308.3944 Train Accuracy:0.1825
Epoch 1 Counter 200 Train Loss:292.3196 Train Accuracy:0.1800
Epoch 1 Counter 250 Train Loss:277.5806 Train Accuracy:0.1800
Epoch 1 Counter 300 Train Loss:264.1525 Train Accuracy:0.1800
05/09/2018 08:13:13 AM Incrementing epoch counter....
05/09/2018 08:13:13 AM Evaluating on Dev set ....
('Epoch: 1/1000', 'Dev Loss: 167.4328', 'Dev Acc: 0.2668')
05/09/2018 08:13:29 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 2 Counter 50 Train Loss:161.5408 Train Accuracy:0.1862
Epoch 2 Counter 100 Train Loss:153.9044 Train Accuracy:0.2044
Epoch 2 Counter 150 Train Loss:147.3445 Train Accuracy:0.2121
Epoch 2 Counter 200 Train Loss:141.2592 Train Accuracy:0.2109
Epoch 2 Counter 250 Train Loss:135.4428 Train Accuracy:0.2172
Epoch 2 Counter 300 Train Loss:130.1140 Train Accuracy:0.2160
05/09/2018 08:19:17 AM Incrementing epoch counter....
05/09/2018 08:19:17 AM Evaluating on Dev set ....
('Epoch: 2/1000', 'Dev Loss: 91.7091', 'Dev Acc: 0.2652')
05/09/2018 08:19:33 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 3 Counter 50 Train Loss:87.1063 Train Accuracy:0.2550
Epoch 3 Counter 100 Train Loss:83.7914 Train Accuracy:0.2512
Epoch 3 Counter 150 Train Loss:80.7266 Train Accuracy:0.2537
Epoch 3 Counter 200 Train Loss:77.7458 Train Accuracy:0.2631
Epoch 3 Counter 250 Train Loss:74.9305 Train Accuracy:0.2657
Epoch 3 Counter 300 Train Loss:72.3154 Train Accuracy:0.2658
05/09/2018 08:25:23 AM Incrementing epoch counter....
05/09/2018 08:25:23 AM Evaluating on Dev set ....
('Epoch: 3/1000', 'Dev Loss: 52.8883', 'Dev Acc: 0.2739')
05/09/2018 08:25:38 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 4 Counter 50 Train Loss:50.4643 Train Accuracy:0.3212
Epoch 4 Counter 100 Train Loss:48.8807 Train Accuracy:0.3137
Epoch 4 Counter 150 Train Loss:47.1641 Train Accuracy:0.3254
Epoch 4 Counter 200 Train Loss:45.5545 Train Accuracy:0.3356
Epoch 4 Counter 250 Train Loss:44.1347 Train Accuracy:0.3372
Epoch 4 Counter 300 Train Loss:42.7594 Train Accuracy:0.3385
05/09/2018 08:31:26 AM Incrementing epoch counter....
05/09/2018 08:31:26 AM Evaluating on Dev set ....
('Epoch: 4/1000', 'Dev Loss: 33.9275', 'Dev Acc: 0.2755')
05/09/2018 08:31:41 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 5 Counter 50 Train Loss:31.3245 Train Accuracy:0.3825
Epoch 5 Counter 100 Train Loss:30.4274 Train Accuracy:0.3912
Epoch 5 Counter 150 Train Loss:29.5974 Train Accuracy:0.3987
Epoch 5 Counter 200 Train Loss:28.7699 Train Accuracy:0.4056
Epoch 5 Counter 250 Train Loss:27.9932 Train Accuracy:0.4105
Epoch 5 Counter 300 Train Loss:27.2569 Train Accuracy:0.4123
05/09/2018 08:37:30 AM Incrementing epoch counter....
05/09/2018 08:37:30 AM Evaluating on Dev set ....
('Epoch: 5/1000', 'Dev Loss: 23.6862', 'Dev Acc: 0.3011')
05/09/2018 08:37:46 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 6 Counter 50 Train Loss:21.2248 Train Accuracy:0.4813
Epoch 6 Counter 100 Train Loss:20.6991 Train Accuracy:0.4756
Epoch 6 Counter 150 Train Loss:20.1745 Train Accuracy:0.4900
Epoch 6 Counter 200 Train Loss:19.6606 Train Accuracy:0.4978
Epoch 6 Counter 250 Train Loss:19.2032 Train Accuracy:0.5028
Epoch 6 Counter 300 Train Loss:18.8123 Train Accuracy:0.5042
05/09/2018 08:43:38 AM Incrementing epoch counter....
05/09/2018 08:43:38 AM Evaluating on Dev set ....
('Epoch: 6/1000', 'Dev Loss: 18.2555', 'Dev Acc: 0.2946')
05/09/2018 08:43:53 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 7 Counter 50 Train Loss:15.3478 Train Accuracy:0.5475
Epoch 7 Counter 100 Train Loss:15.0219 Train Accuracy:0.5706
Epoch 7 Counter 150 Train Loss:14.6905 Train Accuracy:0.5833
Epoch 7 Counter 200 Train Loss:14.3720 Train Accuracy:0.5953
Epoch 7 Counter 250 Train Loss:14.1206 Train Accuracy:0.5982
Epoch 7 Counter 300 Train Loss:13.8813 Train Accuracy:0.5994
05/09/2018 08:49:42 AM Incrementing epoch counter....
05/09/2018 08:49:42 AM Evaluating on Dev set ....
('Epoch: 7/1000', 'Dev Loss: 15.3359', 'Dev Acc: 0.2891')
05/09/2018 08:49:58 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 8 Counter 50 Train Loss:11.7214 Train Accuracy:0.6538
Epoch 8 Counter 100 Train Loss:11.4869 Train Accuracy:0.6587
Epoch 8 Counter 150 Train Loss:11.2787 Train Accuracy:0.6704
Epoch 8 Counter 200 Train Loss:11.0998 Train Accuracy:0.6753
Epoch 8 Counter 250 Train Loss:10.9373 Train Accuracy:0.6800
Epoch 8 Counter 300 Train Loss:10.7834 Train Accuracy:0.6808
05/09/2018 08:55:45 AM Incrementing epoch counter....
05/09/2018 08:55:45 AM Evaluating on Dev set ....
('Epoch: 8/1000', 'Dev Loss: 12.8588', 'Dev Acc: 0.2891')
05/09/2018 08:56:01 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 9 Counter 50 Train Loss:9.3780 Train Accuracy:0.7288
Epoch 9 Counter 100 Train Loss:9.2804 Train Accuracy:0.7262
Epoch 9 Counter 150 Train Loss:9.1917 Train Accuracy:0.7183
Epoch 9 Counter 200 Train Loss:9.0317 Train Accuracy:0.7284
Epoch 9 Counter 250 Train Loss:8.9184 Train Accuracy:0.7282
Epoch 9 Counter 300 Train Loss:8.8180 Train Accuracy:0.7294
05/09/2018 09:02:03 AM Incrementing epoch counter....
05/09/2018 09:02:03 AM Evaluating on Dev set ....
('Epoch: 9/1000', 'Dev Loss: 12.2762', 'Dev Acc: 0.2957')
05/09/2018 09:02:19 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 10 Counter 50 Train Loss:7.8468 Train Accuracy:0.7625
Epoch 10 Counter 100 Train Loss:7.8181 Train Accuracy:0.7562
Epoch 10 Counter 150 Train Loss:7.7016 Train Accuracy:0.7625
Epoch 10 Counter 200 Train Loss:7.6012 Train Accuracy:0.7725
Epoch 10 Counter 250 Train Loss:7.5069 Train Accuracy:0.7782
Epoch 10 Counter 300 Train Loss:7.4261 Train Accuracy:0.7762
05/09/2018 09:08:28 AM Incrementing epoch counter....
05/09/2018 09:08:28 AM Evaluating on Dev set ....
('Epoch: 10/1000', 'Dev Loss: 10.6359', 'Dev Acc: 0.3000')
05/09/2018 09:08:44 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 11 Counter 50 Train Loss:6.7377 Train Accuracy:0.8025
Epoch 11 Counter 100 Train Loss:6.6574 Train Accuracy:0.8006
Epoch 11 Counter 150 Train Loss:6.5910 Train Accuracy:0.8021
Epoch 11 Counter 200 Train Loss:6.5002 Train Accuracy:0.8109
Epoch 11 Counter 250 Train Loss:6.4470 Train Accuracy:0.8083
Epoch 11 Counter 300 Train Loss:6.3911 Train Accuracy:0.8106
05/09/2018 09:14:57 AM Incrementing epoch counter....
05/09/2018 09:14:57 AM Evaluating on Dev set ....
('Epoch: 11/1000', 'Dev Loss: 9.3308', 'Dev Acc: 0.2913')
05/09/2018 09:15:13 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 12 Counter 50 Train Loss:5.9412 Train Accuracy:0.8113
Epoch 12 Counter 100 Train Loss:5.8378 Train Accuracy:0.8219
Epoch 12 Counter 150 Train Loss:5.7924 Train Accuracy:0.8229
Epoch 12 Counter 200 Train Loss:5.7468 Train Accuracy:0.8234
Epoch 12 Counter 250 Train Loss:5.6863 Train Accuracy:0.8300
Epoch 12 Counter 300 Train Loss:5.6415 Train Accuracy:0.8298
05/09/2018 09:21:25 AM Incrementing epoch counter....
05/09/2018 09:21:25 AM Evaluating on Dev set ....
('Epoch: 12/1000', 'Dev Loss: 8.8373', 'Dev Acc: 0.3043')
05/09/2018 09:21:41 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 13 Counter 50 Train Loss:5.1856 Train Accuracy:0.8550
Epoch 13 Counter 100 Train Loss:5.1514 Train Accuracy:0.8581
Epoch 13 Counter 150 Train Loss:5.1059 Train Accuracy:0.8617
Epoch 13 Counter 200 Train Loss:5.0775 Train Accuracy:0.8616
Epoch 13 Counter 250 Train Loss:5.0548 Train Accuracy:0.8595
Epoch 13 Counter 300 Train Loss:5.0303 Train Accuracy:0.8573
05/09/2018 09:27:54 AM Incrementing epoch counter....
05/09/2018 09:27:54 AM Evaluating on Dev set ....
('Epoch: 13/1000', 'Dev Loss: 8.1300', 'Dev Acc: 0.3011')
05/09/2018 09:28:10 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 14 Counter 50 Train Loss:4.6299 Train Accuracy:0.8812
Epoch 14 Counter 100 Train Loss:4.5942 Train Accuracy:0.8800
Epoch 14 Counter 150 Train Loss:4.5873 Train Accuracy:0.8742
Epoch 14 Counter 200 Train Loss:4.5577 Train Accuracy:0.8741
Epoch 14 Counter 250 Train Loss:4.5384 Train Accuracy:0.8740
Epoch 14 Counter 300 Train Loss:4.5145 Train Accuracy:0.8738
05/09/2018 09:34:19 AM Incrementing epoch counter....
05/09/2018 09:34:19 AM Evaluating on Dev set ....
('Epoch: 14/1000', 'Dev Loss: 8.0041', 'Dev Acc: 0.3071')
05/09/2018 09:34:34 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 15 Counter 50 Train Loss:4.2972 Train Accuracy:0.8700
Epoch 15 Counter 100 Train Loss:4.2974 Train Accuracy:0.8688
Epoch 15 Counter 150 Train Loss:4.2384 Train Accuracy:0.8821
Epoch 15 Counter 200 Train Loss:4.2170 Train Accuracy:0.8838
Epoch 15 Counter 250 Train Loss:4.1889 Train Accuracy:0.8838
Epoch 15 Counter 300 Train Loss:4.1583 Train Accuracy:0.8869
05/09/2018 09:40:47 AM Incrementing epoch counter....
05/09/2018 09:40:47 AM Evaluating on Dev set ....
('Epoch: 15/1000', 'Dev Loss: 8.0186', 'Dev Acc: 0.3011')
Epoch 16 Counter 50 Train Loss:3.9636 Train Accuracy:0.8800
Epoch 16 Counter 100 Train Loss:3.8942 Train Accuracy:0.8981
Epoch 16 Counter 150 Train Loss:3.8902 Train Accuracy:0.8938
Epoch 16 Counter 200 Train Loss:3.8639 Train Accuracy:0.8966
Epoch 16 Counter 250 Train Loss:3.8455 Train Accuracy:0.8982
Epoch 16 Counter 300 Train Loss:3.8279 Train Accuracy:0.8960
05/09/2018 09:46:44 AM Incrementing epoch counter....
05/09/2018 09:46:44 AM Evaluating on Dev set ....
('Epoch: 16/1000', 'Dev Loss: 7.8671', 'Dev Acc: 0.2962')
05/09/2018 09:46:59 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 17 Counter 50 Train Loss:3.6185 Train Accuracy:0.9150
Epoch 17 Counter 100 Train Loss:3.5930 Train Accuracy:0.9231
Epoch 17 Counter 150 Train Loss:3.5927 Train Accuracy:0.9154
Epoch 17 Counter 200 Train Loss:3.5690 Train Accuracy:0.9175
Epoch 17 Counter 250 Train Loss:3.5332 Train Accuracy:0.9227
Epoch 17 Counter 300 Train Loss:3.5049 Train Accuracy:0.9246
05/09/2018 09:53:08 AM Incrementing epoch counter....
05/09/2018 09:53:08 AM Evaluating on Dev set ....
('Epoch: 17/1000', 'Dev Loss: 7.1812', 'Dev Acc: 0.3038')
05/09/2018 09:53:24 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 18 Counter 50 Train Loss:3.2291 Train Accuracy:0.9575
Epoch 18 Counter 100 Train Loss:3.2085 Train Accuracy:0.9575
Epoch 18 Counter 150 Train Loss:3.1907 Train Accuracy:0.9550
Epoch 18 Counter 200 Train Loss:3.1820 Train Accuracy:0.9541
Epoch 18 Counter 250 Train Loss:3.1606 Train Accuracy:0.9565
Epoch 18 Counter 300 Train Loss:3.1466 Train Accuracy:0.9554
05/09/2018 09:59:36 AM Incrementing epoch counter....
05/09/2018 09:59:36 AM Evaluating on Dev set ....
('Epoch: 18/1000', 'Dev Loss: 7.1425', 'Dev Acc: 0.3022')
05/09/2018 09:59:51 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 19 Counter 50 Train Loss:3.0362 Train Accuracy:0.9513
Epoch 19 Counter 100 Train Loss:3.0051 Train Accuracy:0.9544
Epoch 19 Counter 150 Train Loss:2.9792 Train Accuracy:0.9558
Epoch 19 Counter 200 Train Loss:2.9618 Train Accuracy:0.9572
Epoch 19 Counter 250 Train Loss:2.9493 Train Accuracy:0.9563
Epoch 19 Counter 300 Train Loss:2.9294 Train Accuracy:0.9585
05/09/2018 10:06:02 AM Incrementing epoch counter....
05/09/2018 10:06:02 AM Evaluating on Dev set ....
('Epoch: 19/1000', 'Dev Loss: 6.7376', 'Dev Acc: 0.3043')
05/09/2018 10:06:18 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 20 Counter 50 Train Loss:2.7851 Train Accuracy:0.9563
Epoch 20 Counter 100 Train Loss:2.7944 Train Accuracy:0.9575
Epoch 20 Counter 150 Train Loss:2.7804 Train Accuracy:0.9587
Epoch 20 Counter 200 Train Loss:2.7623 Train Accuracy:0.9616
Epoch 20 Counter 250 Train Loss:2.7468 Train Accuracy:0.9637
Epoch 20 Counter 300 Train Loss:2.7358 Train Accuracy:0.9629
05/09/2018 10:12:30 AM Incrementing epoch counter....
05/09/2018 10:12:30 AM Evaluating on Dev set ....
('Epoch: 20/1000', 'Dev Loss: 6.5246', 'Dev Acc: 0.3038')
05/09/2018 10:12:46 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 21 Counter 50 Train Loss:2.6483 Train Accuracy:0.9625
Epoch 21 Counter 100 Train Loss:2.6161 Train Accuracy:0.9675
Epoch 21 Counter 150 Train Loss:2.6136 Train Accuracy:0.9663
Epoch 21 Counter 200 Train Loss:2.6041 Train Accuracy:0.9656
Epoch 21 Counter 250 Train Loss:2.5957 Train Accuracy:0.9650
Epoch 21 Counter 300 Train Loss:2.5878 Train Accuracy:0.9646
05/09/2018 10:18:45 AM Incrementing epoch counter....
05/09/2018 10:18:45 AM Evaluating on Dev set ....
('Epoch: 21/1000', 'Dev Loss: 6.3026', 'Dev Acc: 0.3016')
05/09/2018 10:19:00 AM Saving model to checkpoint to ckpt_dir/model.ckpt
Epoch 22 Counter 50 Train Loss:2.5229 Train Accuracy:0.9537
Epoch 22 Counter 100 Train Loss:2.5263 Train Accuracy:0.9525
Epoch 22 Counter 150 Train Loss:2.5150 Train Accuracy:0.9525
Epoch 22 Counter 200 Train Loss:2.5121 Train Accuracy:0.9525
Epoch 22 Counter 250 Train Loss:2.5021 Train Accuracy:0.9537
Epoch 22 Counter 300 Train Loss:2.4887 Train Accuracy:0.9556
05/09/2018 10:25:03 AM Incrementing epoch counter....
05/09/2018 10:25:03 AM Evaluating on Dev set ....
('Epoch: 22/1000', 'Dev Loss: 6.5623', 'Dev Acc: 0.3011')
Epoch 23 Counter 50 Train Loss:2.3679 Train Accuracy:0.9712
Epoch 23 Counter 100 Train Loss:2.3829 Train Accuracy:0.9644
Epoch 23 Counter 150 Train Loss:2.3803 Train Accuracy:0.9637
Epoch 23 Counter 200 Train Loss:2.3804 Train Accuracy:0.9606
Epoch 23 Counter 250 Train Loss:2.3788 Train Accuracy:0.9585
Epoch 23 Counter 300 Train Loss:2.3754 Train Accuracy:0.9571
05/09/2018 10:30:55 AM Incrementing epoch counter....
05/09/2018 10:30:55 AM Evaluating on Dev set ....
('Epoch: 23/1000', 'Dev Loss: 7.1710', 'Dev Acc: 0.2935')
Epoch 24 Counter 50 Train Loss:2.3293 Train Accuracy:0.9550
Epoch 24 Counter 100 Train Loss:2.3144 Train Accuracy:0.9613
Epoch 24 Counter 150 Train Loss:2.2987 Train Accuracy:0.9617
Epoch 24 Counter 200 Train Loss:2.3022 Train Accuracy:0.9597
Epoch 24 Counter 250 Train Loss:2.3003 Train Accuracy:0.9597