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YusufDagdeviren
/
SentimentAnalysisFromMovieReviews

Text Classification
Transformers
PyTorch
xlnet
Model card Files
xet
Community
1
YusufDagdeviren commited on
Commit
129c08e
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Update README.md v2

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  1. README.md +102 -102
README.md CHANGED
@@ -36,107 +36,107 @@ The following hyperparameters were used during training:
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  - num_epochs: 2
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  ### Training Results
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- ======== Epoch 1 / 2 ========
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- Training...
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- Batch 30 of 1,222. Elapsed: 0:00:38.
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- Batch 210 of 1,222. Elapsed: 0:04:21.
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- Batch 240 of 1,222. Elapsed: 0:04:58.
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- Batch 270 of 1,222. Elapsed: 0:05:35.
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- Batch 300 of 1,222. Elapsed: 0:06:12.
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- Batch 330 of 1,222. Elapsed: 0:06:49.
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- Batch 360 of 1,222. Elapsed: 0:07:27.
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- Batch 390 of 1,222. Elapsed: 0:08:04.
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- Batch 420 of 1,222. Elapsed: 0:08:41.
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- Batch 450 of 1,222. Elapsed: 0:09:18.
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- Batch 480 of 1,222. Elapsed: 0:09:55.
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- Batch 510 of 1,222. Elapsed: 0:10:32.
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- Batch 540 of 1,222. Elapsed: 0:11:09.
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- Batch 570 of 1,222. Elapsed: 0:11:46.
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- Batch 600 of 1,222. Elapsed: 0:12:24.
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- Batch 630 of 1,222. Elapsed: 0:13:01.
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- Batch 660 of 1,222. Elapsed: 0:13:38.
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- Batch 690 of 1,222. Elapsed: 0:14:15.
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- Batch 720 of 1,222. Elapsed: 0:14:52.
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- Batch 750 of 1,222. Elapsed: 0:15:29.
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- Batch 780 of 1,222. Elapsed: 0:16:06.
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- Batch 810 of 1,222. Elapsed: 0:16:43.
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- Batch 840 of 1,222. Elapsed: 0:17:20.
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- Batch 870 of 1,222. Elapsed: 0:17:57.
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- Batch 900 of 1,222. Elapsed: 0:18:35.
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- Batch 930 of 1,222. Elapsed: 0:19:12.
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- Batch 960 of 1,222. Elapsed: 0:19:49.
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- Batch 990 of 1,222. Elapsed: 0:20:26.
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- Batch 1,020 of 1,222. Elapsed: 0:21:03.
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- Batch 1,050 of 1,222. Elapsed: 0:21:40.
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- Batch 1,080 of 1,222. Elapsed: 0:22:17.
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- Batch 1,110 of 1,222. Elapsed: 0:22:54.
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- Batch 1,140 of 1,222. Elapsed: 0:23:31.
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- Batch 1,170 of 1,222. Elapsed: 0:24:09.
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- Batch 1,200 of 1,222. Elapsed: 0:24:46.
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-
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- Average training loss: 0.27
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- Training epoch took: 0:25:12
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-
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- Running Validation...
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- Accuracy: 0.92
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- Validation took: 0:02:51
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-
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- ======== Epoch 2 / 2 ========
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- Training...
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- Batch 30 of 1,222. Elapsed: 0:00:37.
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- Batch 60 of 1,222. Elapsed: 0:01:14.
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- Batch 90 of 1,222. Elapsed: 0:01:51.
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- Batch 120 of 1,222. Elapsed: 0:02:29.
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- Batch 150 of 1,222. Elapsed: 0:03:06.
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- Batch 180 of 1,222. Elapsed: 0:03:43.
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- Batch 210 of 1,222. Elapsed: 0:04:20.
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- Batch 240 of 1,222. Elapsed: 0:04:57.
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- Batch 270 of 1,222. Elapsed: 0:05:34.
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- Batch 300 of 1,222. Elapsed: 0:06:11.
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- Batch 330 of 1,222. Elapsed: 0:06:48.
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- Batch 360 of 1,222. Elapsed: 0:07:25.
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- Batch 390 of 1,222. Elapsed: 0:08:03.
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- Batch 420 of 1,222. Elapsed: 0:08:40.
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- Batch 450 of 1,222. Elapsed: 0:09:17.
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- Batch 480 of 1,222. Elapsed: 0:09:54.
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- Batch 510 of 1,222. Elapsed: 0:10:31.
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- Batch 540 of 1,222. Elapsed: 0:11:08.
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- Batch 570 of 1,222. Elapsed: 0:11:45.
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- Batch 600 of 1,222. Elapsed: 0:12:23.
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- Batch 630 of 1,222. Elapsed: 0:13:00.
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- Batch 660 of 1,222. Elapsed: 0:13:37.
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- Batch 690 of 1,222. Elapsed: 0:14:14.
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- Batch 720 of 1,222. Elapsed: 0:14:51.
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- Batch 750 of 1,222. Elapsed: 0:15:28.
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- Batch 780 of 1,222. Elapsed: 0:16:05.
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- Batch 810 of 1,222. Elapsed: 0:16:43.
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- Batch 840 of 1,222. Elapsed: 0:17:20.
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- Batch 870 of 1,222. Elapsed: 0:17:57.
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- Batch 900 of 1,222. Elapsed: 0:18:34.
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- Batch 930 of 1,222. Elapsed: 0:19:11.
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- Batch 960 of 1,222. Elapsed: 0:19:48.
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- Batch 990 of 1,222. Elapsed: 0:20:25.
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- Batch 1,020 of 1,222. Elapsed: 0:21:03.
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- Batch 1,050 of 1,222. Elapsed: 0:21:40.
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- Batch 1,080 of 1,222. Elapsed: 0:22:17.
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- Batch 1,110 of 1,222. Elapsed: 0:22:54.
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- Batch 1,140 of 1,222. Elapsed: 0:23:31.
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- Batch 1,170 of 1,222. Elapsed: 0:24:08.
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- Batch 1,200 of 1,222. Elapsed: 0:24:45.
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-
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- Average training loss: 0.16
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- Training epoch took: 0:25:12
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-
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- Running Validation...
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- Accuracy: 0.93
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- Validation took: 0:02:52
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  ### Framework Versions
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- - Transformers 4.41.2
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- - Pytorch 2.3
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- - Tokenizers 0.19.1
 
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  - num_epochs: 2
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  ### Training Results
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+ ======== Epoch 1 / 2 ========
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+ Training...
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+ Batch 30 of 1,222. Elapsed: 0:00:38.
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+ Batch 60 of 1,222. Elapsed: 0:01:16.
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+ Batch 90 of 1,222. Elapsed: 0:01:53.
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+ Batch 120 of 1,222. Elapsed: 0:02:30.
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+ Batch 150 of 1,222. Elapsed: 0:03:07.
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+ Batch 180 of 1,222. Elapsed: 0:03:44.
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+ Batch 210 of 1,222. Elapsed: 0:04:21.
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+ Batch 240 of 1,222. Elapsed: 0:04:58.
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+ Batch 270 of 1,222. Elapsed: 0:05:35.
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+ Batch 300 of 1,222. Elapsed: 0:06:12.
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+ Batch 330 of 1,222. Elapsed: 0:06:49.
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+ Batch 360 of 1,222. Elapsed: 0:07:27.
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+ Batch 390 of 1,222. Elapsed: 0:08:04.
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+ Batch 420 of 1,222. Elapsed: 0:08:41.
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+ Batch 450 of 1,222. Elapsed: 0:09:18.
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+ Batch 480 of 1,222. Elapsed: 0:09:55.
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+ Batch 510 of 1,222. Elapsed: 0:10:32.
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+ Batch 540 of 1,222. Elapsed: 0:11:09.
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+ Batch 570 of 1,222. Elapsed: 0:11:46.
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+ Batch 600 of 1,222. Elapsed: 0:12:24.
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+ Batch 630 of 1,222. Elapsed: 0:13:01.
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+ Batch 660 of 1,222. Elapsed: 0:13:38.
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+ Batch 690 of 1,222. Elapsed: 0:14:15.
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+ Batch 720 of 1,222. Elapsed: 0:14:52.
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+ Batch 750 of 1,222. Elapsed: 0:15:29.
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+ Batch 780 of 1,222. Elapsed: 0:16:06.
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+ Batch 810 of 1,222. Elapsed: 0:16:43.
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+ Batch 840 of 1,222. Elapsed: 0:17:20.
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+ Batch 870 of 1,222. Elapsed: 0:17:57.
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+ Batch 900 of 1,222. Elapsed: 0:18:35.
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+ Batch 930 of 1,222. Elapsed: 0:19:12.
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+ Batch 960 of 1,222. Elapsed: 0:19:49.
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+ Batch 990 of 1,222. Elapsed: 0:20:26.
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+ Batch 1,020 of 1,222. Elapsed: 0:21:03.
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+ Batch 1,050 of 1,222. Elapsed: 0:21:40.
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+ Batch 1,080 of 1,222. Elapsed: 0:22:17.
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+ Batch 1,110 of 1,222. Elapsed: 0:22:54.
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+ Batch 1,140 of 1,222. Elapsed: 0:23:31.
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+ Batch 1,170 of 1,222. Elapsed: 0:24:09.
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+ Batch 1,200 of 1,222. Elapsed: 0:24:46.
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+
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+ Average training loss: 0.27
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+ Training epoch took: 0:25:12
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+
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+ Running Validation...
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+ Accuracy: 0.92
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+ Validation took: 0:02:51
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+
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+ ======== Epoch 2 / 2 ========
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+ Training...
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+ Batch 30 of 1,222. Elapsed: 0:00:37.
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+ Batch 60 of 1,222. Elapsed: 0:01:14.
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+ Batch 90 of 1,222. Elapsed: 0:01:51.
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+ Batch 120 of 1,222. Elapsed: 0:02:29.
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+ Batch 150 of 1,222. Elapsed: 0:03:06.
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+ Batch 180 of 1,222. Elapsed: 0:03:43.
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+ Batch 210 of 1,222. Elapsed: 0:04:20.
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+ Batch 240 of 1,222. Elapsed: 0:04:57.
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+ Batch 270 of 1,222. Elapsed: 0:05:34.
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+ Batch 300 of 1,222. Elapsed: 0:06:11.
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+ Batch 330 of 1,222. Elapsed: 0:06:48.
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+ Batch 360 of 1,222. Elapsed: 0:07:25.
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+ Batch 390 of 1,222. Elapsed: 0:08:03.
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+ Batch 420 of 1,222. Elapsed: 0:08:40.
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+ Batch 450 of 1,222. Elapsed: 0:09:17.
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+ Batch 480 of 1,222. Elapsed: 0:09:54.
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+ Batch 510 of 1,222. Elapsed: 0:10:31.
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+ Batch 540 of 1,222. Elapsed: 0:11:08.
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+ Batch 570 of 1,222. Elapsed: 0:11:45.
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+ Batch 600 of 1,222. Elapsed: 0:12:23.
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+ Batch 630 of 1,222. Elapsed: 0:13:00.
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+ Batch 660 of 1,222. Elapsed: 0:13:37.
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+ Batch 690 of 1,222. Elapsed: 0:14:14.
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+ Batch 720 of 1,222. Elapsed: 0:14:51.
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+ Batch 750 of 1,222. Elapsed: 0:15:28.
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+ Batch 780 of 1,222. Elapsed: 0:16:05.
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+ Batch 810 of 1,222. Elapsed: 0:16:43.
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+ Batch 840 of 1,222. Elapsed: 0:17:20.
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+ Batch 870 of 1,222. Elapsed: 0:17:57.
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+ Batch 900 of 1,222. Elapsed: 0:18:34.
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+ Batch 930 of 1,222. Elapsed: 0:19:11.
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+ Batch 960 of 1,222. Elapsed: 0:19:48.
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+ Batch 990 of 1,222. Elapsed: 0:20:25.
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+ Batch 1,020 of 1,222. Elapsed: 0:21:03.
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+ Batch 1,050 of 1,222. Elapsed: 0:21:40.
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+ Batch 1,080 of 1,222. Elapsed: 0:22:17.
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+ Batch 1,110 of 1,222. Elapsed: 0:22:54.
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+ Batch 1,140 of 1,222. Elapsed: 0:23:31.
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+ Batch 1,170 of 1,222. Elapsed: 0:24:08.
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+ Batch 1,200 of 1,222. Elapsed: 0:24:45.
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+
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+ Average training loss: 0.16
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+ Training epoch took: 0:25:12
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+
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+ Running Validation...
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+ Accuracy: 0.93
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+ Validation took: 0:02:52
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  ### Framework Versions
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+ - Transformers 4.41.2
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+ - Pytorch 2.3
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+ - Tokenizers 0.19.1