Update Model

by stefan-it - opened Apr 4

base: refs/heads/main

←

from: refs/pr/3

Discussion Files changed

+2357

-2461

Files changed (4) hide show

README.md +9 -10
loss.tsv +151 -151
pytorch_model.bin +2 -2
training.log +0 -0

README.md CHANGED Viewed

@@ -3,10 +3,10 @@ tags:
 - flair
 - token-classification
 - sequence-tagger-model
-language:
-- en
-- de
-- fr
 - it
 - nl
 - pl
@@ -26,7 +26,7 @@ widget:
 This is the default multilingual universal part-of-speech tagging model that ships with [Flair](https://github.com/flairNLP/flair/).
-F1-Score: **98,47** (12 UD Treebanks covering English, German, French, Italian, Dutch, Polish, Spanish, Swedish, Danish, Norwegian, Finnish and Czech)
 Predicts universal POS tags:
@@ -94,14 +94,14 @@ Token[6]: "say" → VERB (0.9998)
 Token[7]: "." → PUNCT (1.0)
 ```
-So, the words "*Ich*" and "*they*" are labeled as **pronouns** (PRON), while "*liebe*" and "*say*" are labeled as **verbs** (VERB) in the multilingual sentence "*Ich liebe Berlin, as they say*".
 ---
 ### Training: Script to train this model
-The following Flair script was used to train this model:
 ```python
 from flair.data import MultiCorpus
@@ -129,11 +129,10 @@ corpus = MultiCorpus([
 tag_type = 'upos'
 # 3. make the tag dictionary from the corpus
-tag_dictionary = corpus.make_tag_dictionary(tag_type=tag_type)
 # 4. initialize each embedding we use
 embedding_types = [
     # contextual string embeddings, forward
     FlairEmbeddings('multi-forward'),
@@ -141,7 +140,7 @@ embedding_types = [
     FlairEmbeddings('multi-backward'),
 ]
-# embedding stack consists of Flair and GloVe embeddings
 embeddings = StackedEmbeddings(embeddings=embedding_types)
 # 5. initialize sequence tagger

 - flair
 - token-classification
 - sequence-tagger-model
+language:
+- en
+- de
+- fr
 - it
 - nl
 - pl
 This is the default multilingual universal part-of-speech tagging model that ships with [Flair](https://github.com/flairNLP/flair/).
+F1-Score: **96.87** (12 UD Treebanks covering English, German, French, Italian, Dutch, Polish, Spanish, Swedish, Danish, Norwegian, Finnish and Czech)
 Predicts universal POS tags:
 Token[7]: "." → PUNCT (1.0)
 ```
+So, the words "*Ich*" and "*they*" are labeled as **pronouns** (PRON), while "*liebe*" and "*say*" are labeled as **verbs** (VERB) in the multilingual sentence "*Ich liebe Berlin, as they say*".
 ---
 ### Training: Script to train this model
+The following Flair script was used to train this model:
 ```python
 from flair.data import MultiCorpus
 tag_type = 'upos'
 # 3. make the tag dictionary from the corpus
+tag_dictionary = corpus.make_label_dictionary(label_type=tag_type)
 # 4. initialize each embedding we use
 embedding_types = [
     # contextual string embeddings, forward
     FlairEmbeddings('multi-forward'),
     FlairEmbeddings('multi-backward'),
 ]
+# embedding stack consists of Flair embeddings
 embeddings = StackedEmbeddings(embeddings=embedding_types)
 # 5. initialize sequence tagger

loss.tsv CHANGED Viewed

@@ -1,151 +1,151 @@
-EPOCH	TIMESTAMP	BAD_EPOCHS	LEARNING_RATE	TRAIN_LOSS	TRAIN_PRECISION	TRAIN_RECALL	TRAIN_ACCURACY	TRAIN_F-SCORE	DEV_LOSS	DEV_PRECISION	DEV_RECALL	DEV_ACCURACY	DEV_F-SCORE	TEST_LOSS	TEST_PRECISION	TEST_RECALL	TEST_ACCURACY	TEST_F-SCORE
-0	11:12:55	0	0.1000	0.7210021345162283		_	_	_	_	_		_	_	_	_	_	0.8481	0.8481	0.8481	0.8481
-1	11:36:23	0	0.1000	0.4978160696237081		_	_	_	_	_		_	_	_	_	_	0.878	0.878	0.878	0.878
-2	11:59:52	0	0.1000	0.43429711483610006		_	_	_	_	_		_	_	_	_	_	0.8967	0.8967	0.8967	0.8967
-3	12:23:17	0	0.1000	0.39905918871464724		_	_	_	_	_		_	_	_	_	_	0.904	0.904	0.904	0.904
-4	12:46:45	0	0.1000	0.3742375968457236		_	_	_	_	_		_	_	_	_	_	0.9095	0.9095	0.9095	0.9095
-5	13:10:21	0	0.1000	0.35342702350133975		_	_	_	_	_		_	_	_	_	_	0.9169	0.9169	0.9169	0.9169
-6	13:33:49	0	0.1000	0.33980307603623794		_	_	_	_	_		_	_	_	_	_	0.9202	0.9202	0.9202	0.9202
-7	13:57:21	0	0.1000	0.32579335047085706		_	_	_	_	_		_	_	_	_	_	0.9232	0.9232	0.9232	0.9232
-8	14:20:44	0	0.1000	0.31598528568207496		_	_	_	_	_		_	_	_	_	_	0.9276	0.9276	0.9276	0.9276
-9	14:44:11	0	0.1000	0.30771679594818646		_	_	_	_	_		_	_	_	_	_	0.9303	0.9303	0.9303	0.9303
-10	15:07:37	0	0.1000	0.29935787006847003		_	_	_	_	_		_	_	_	_	_	0.933	0.933	0.933	0.933
-11	15:31:00	0	0.1000	0.2921474775313901		_	_	_	_	_		_	_	_	_	_	0.9343	0.9343	0.9343	0.9343
-12	15:54:34	0	0.1000	0.2871364236691731		_	_	_	_	_		_	_	_	_	_	0.9354	0.9354	0.9354	0.9354
-13	16:17:59	0	0.1000	0.28096626128222385		_	_	_	_	_		_	_	_	_	_	0.9367	0.9367	0.9367	0.9367
-14	16:41:22	0	0.1000	0.2746626851626277		_	_	_	_	_		_	_	_	_	_	0.9388	0.9388	0.9388	0.9388
-15	17:04:53	0	0.1000	0.2702156779567315		_	_	_	_	_		_	_	_	_	_	0.939	0.939	0.939	0.939
-16	17:28:14	0	0.1000	0.2677499098394409		_	_	_	_	_		_	_	_	_	_	0.94	0.94	0.94	0.94
-17	17:51:41	0	0.1000	0.26327742492058104		_	_	_	_	_		_	_	_	_	_	0.9414	0.9414	0.9414	0.9414
-18	18:15:15	0	0.1000	0.25877575904336814		_	_	_	_	_		_	_	_	_	_	0.9432	0.9432	0.9432	0.9432
-19	18:38:40	0	0.1000	0.2537475148621729		_	_	_	_	_		_	_	_	_	_	0.9429	0.9429	0.9429	0.9429
-20	19:02:06	0	0.1000	0.2526139328870411		_	_	_	_	_		_	_	_	_	_	0.9433	0.9433	0.9433	0.9433
-21	19:25:36	0	0.1000	0.25058489056542393		_	_	_	_	_		_	_	_	_	_	0.9454	0.9454	0.9454	0.9454
-22	19:49:01	0	0.1000	0.24793850796675693		_	_	_	_	_		_	_	_	_	_	0.9459	0.9459	0.9459	0.9459
-23	20:12:32	0	0.1000	0.24369133532522563		_	_	_	_	_		_	_	_	_	_	0.9458	0.9458	0.9458	0.9458
-24	20:35:57	0	0.1000	0.24157939653927565		_	_	_	_	_		_	_	_	_	_	0.9464	0.9464	0.9464	0.9464
-25	20:59:37	0	0.1000	0.23970980893528734		_	_	_	_	_		_	_	_	_	_	0.9477	0.9477	0.9477	0.9477
-26	21:23:02	0	0.1000	0.23712054908323255		_	_	_	_	_		_	_	_	_	_	0.9474	0.9474	0.9474	0.9474
-27	21:46:26	0	0.1000	0.2367942676861768		_	_	_	_	_		_	_	_	_	_	0.9464	0.9464	0.9464	0.9464
-28	22:09:57	0	0.1000	0.2333034627188289		_	_	_	_	_		_	_	_	_	_	0.9481	0.9481	0.9481	0.9481
-29	22:33:23	0	0.1000	0.23126234505920054		_	_	_	_	_		_	_	_	_	_	0.949	0.949	0.949	0.949
-30	22:56:56	0	0.1000	0.22932123181550282		_	_	_	_	_		_	_	_	_	_	0.9484	0.9484	0.9484	0.9484
-31	23:20:45	0	0.1000	0.2273743192486796		_	_	_	_	_		_	_	_	_	_	0.9492	0.9492	0.9492	0.9492
-32	23:44:10	0	0.1000	0.2255119944040062		_	_	_	_	_		_	_	_	_	_	0.9485	0.9485	0.9485	0.9485
-33	00:07:34	0	0.1000	0.22409818432363		_	_	_	_	_		_	_	_	_	_	0.95	0.95	0.95	0.95
-34	00:30:57	0	0.1000	0.22151199458546297		_	_	_	_	_		_	_	_	_	_	0.9506	0.9506	0.9506	0.9506
-35	00:54:24	0	0.1000	0.22155024732969722		_	_	_	_	_		_	_	_	_	_	0.9512	0.9512	0.9512	0.9512
-36	01:17:51	1	0.1000	0.2205742845282017		_	_	_	_	_		_	_	_	_	_	0.9511	0.9511	0.9511	0.9511
-37	01:41:20	0	0.1000	0.21852846494206418		_	_	_	_	_		_	_	_	_	_	0.9511	0.9511	0.9511	0.9511
-38	02:04:56	0	0.1000	0.21719484818274226		_	_	_	_	_		_	_	_	_	_	0.9519	0.9519	0.9519	0.9519
-39	02:28:19	0	0.1000	0.21682299653427595		_	_	_	_	_		_	_	_	_	_	0.9509	0.9509	0.9509	0.9509
-40	02:51:41	0	0.1000	0.21704343444362736		_	_	_	_	_		_	_	_	_	_	0.9524	0.9524	0.9524	0.9524
-41	03:15:08	1	0.1000	0.21260865162828568		_	_	_	_	_		_	_	_	_	_	0.9526	0.9526	0.9526	0.9526
-42	03:38:43	0	0.1000	0.21280285771466917		_	_	_	_	_		_	_	_	_	_	0.9525	0.9525	0.9525	0.9525
-43	04:02:11	1	0.1000	0.21139400303602057		_	_	_	_	_		_	_	_	_	_	0.9532	0.9532	0.9532	0.9532
-44	04:25:50	0	0.1000	0.2103025148200453		_	_	_	_	_		_	_	_	_	_	0.9534	0.9534	0.9534	0.9534
-45	04:49:17	0	0.1000	0.21047394277326975		_	_	_	_	_		_	_	_	_	_	0.954	0.954	0.954	0.954
-46	05:12:43	1	0.1000	0.20889954569228175		_	_	_	_	_		_	_	_	_	_	0.9538	0.9538	0.9538	0.9538
-47	05:36:11	0	0.1000	0.2081116257508449		_	_	_	_	_		_	_	_	_	_	0.9534	0.9534	0.9534	0.9534
-48	05:59:47	0	0.1000	0.20735290020180713		_	_	_	_	_		_	_	_	_	_	0.9544	0.9544	0.9544	0.9544
-49	06:23:19	0	0.1000	0.2051314154268594		_	_	_	_	_		_	_	_	_	_	0.9545	0.9545	0.9545	0.9545
-50	06:46:47	0	0.1000	0.20549383197211374		_	_	_	_	_		_	_	_	_	_	0.9542	0.9542	0.9542	0.9542
-51	07:10:30	1	0.1000	0.20552540715422096		_	_	_	_	_		_	_	_	_	_	0.9541	0.9541	0.9541	0.9541
-52	07:34:01	2	0.1000	0.2022382171174598		_	_	_	_	_		_	_	_	_	_	0.9545	0.9545	0.9545	0.9545
-53	07:57:33	0	0.1000	0.2034686032817135		_	_	_	_	_		_	_	_	_	_	0.955	0.955	0.955	0.955
-54	08:20:55	1	0.1000	0.2022125936710602		_	_	_	_	_		_	_	_	_	_	0.9547	0.9547	0.9547	0.9547
-55	08:44:21	0	0.1000	0.20195547892638116		_	_	_	_	_		_	_	_	_	_	0.9548	0.9548	0.9548	0.9548
-56	09:07:58	0	0.1000	0.2010047433371816		_	_	_	_	_		_	_	_	_	_	0.9549	0.9549	0.9549	0.9549
-57	09:31:27	0	0.1000	0.20029620328622608		_	_	_	_	_		_	_	_	_	_	0.9554	0.9554	0.9554	0.9554
-58	09:55:07	0	0.1000	0.200410623315139		_	_	_	_	_		_	_	_	_	_	0.9555	0.9555	0.9555	0.9555
-59	10:18:35	1	0.1000	0.19885549961224236		_	_	_	_	_		_	_	_	_	_	0.9559	0.9559	0.9559	0.9559
-60	10:42:00	0	0.1000	0.1969310509000975		_	_	_	_	_		_	_	_	_	_	0.9562	0.9562	0.9562	0.9562
-61	11:05:28	0	0.1000	0.19752888845380348		_	_	_	_	_		_	_	_	_	_	0.956	0.956	0.956	0.956
-62	11:28:57	1	0.1000	0.19763092688816444		_	_	_	_	_		_	_	_	_	_	0.9562	0.9562	0.9562	0.9562
-63	11:52:29	2	0.1000	0.19646054708820582		_	_	_	_	_		_	_	_	_	_	0.9561	0.9561	0.9561	0.9561
-64	12:16:10	0	0.1000	0.19479624992381397		_	_	_	_	_		_	_	_	_	_	0.9568	0.9568	0.9568	0.9568
-65	12:39:43	0	0.1000	0.19464160452930918		_	_	_	_	_		_	_	_	_	_	0.9566	0.9566	0.9566	0.9566
-66	13:03:14	0	0.1000	0.19548884070323036		_	_	_	_	_		_	_	_	_	_	0.9568	0.9568	0.9568	0.9568
-67	13:26:40	1	0.1000	0.19475973537225158		_	_	_	_	_		_	_	_	_	_	0.9569	0.9569	0.9569	0.9569
-68	13:50:07	2	0.1000	0.19439746426108423		_	_	_	_	_		_	_	_	_	_	0.9563	0.9563	0.9563	0.9563
-69	14:13:32	0	0.1000	0.19370671081686655		_	_	_	_	_		_	_	_	_	_	0.9564	0.9564	0.9564	0.9564
-70	14:36:59	0	0.1000	0.19183528371686911		_	_	_	_	_		_	_	_	_	_	0.9576	0.9576	0.9576	0.9576
-71	15:00:41	0	0.1000	0.19287951452775143		_	_	_	_	_		_	_	_	_	_	0.9572	0.9572	0.9572	0.9572
-72	15:24:07	1	0.1000	0.19141927684724075		_	_	_	_	_		_	_	_	_	_	0.9576	0.9576	0.9576	0.9576
-73	15:47:38	0	0.1000	0.19037402588275787		_	_	_	_	_		_	_	_	_	_	0.957	0.957	0.957	0.957
-74	16:11:07	0	0.1000	0.19046012064034978		_	_	_	_	_		_	_	_	_	_	0.9571	0.9571	0.9571	0.9571
-75	16:34:34	1	0.1000	0.1903303293783702		_	_	_	_	_		_	_	_	_	_	0.9572	0.9572	0.9572	0.9572
-76	16:58:12	0	0.1000	0.19066792594619927		_	_	_	_	_		_	_	_	_	_	0.9573	0.9573	0.9573	0.9573
-77	17:22:06	1	0.1000	0.18952273385669854		_	_	_	_	_		_	_	_	_	_	0.9573	0.9573	0.9573	0.9573
-78	17:45:42	0	0.1000	0.18825725826713122		_	_	_	_	_		_	_	_	_	_	0.9579	0.9579	0.9579	0.9579
-79	18:09:17	0	0.1000	0.18935545475904278		_	_	_	_	_		_	_	_	_	_	0.958	0.958	0.958	0.958
-80	18:32:52	1	0.1000	0.1879875679614127		_	_	_	_	_		_	_	_	_	_	0.958	0.958	0.958	0.958
-81	18:56:27	0	0.1000	0.18778680214824128		_	_	_	_	_		_	_	_	_	_	0.9584	0.9584	0.9584	0.9584
-82	19:20:01	0	0.1000	0.18746448831188942		_	_	_	_	_		_	_	_	_	_	0.9585	0.9585	0.9585	0.9585
-83	19:43:32	0	0.1000	0.18597292849562683		_	_	_	_	_		_	_	_	_	_	0.9578	0.9578	0.9578	0.9578
-84	20:07:22	0	0.1000	0.1860005068718633		_	_	_	_	_		_	_	_	_	_	0.9582	0.9582	0.9582	0.9582
-85	20:30:58	1	0.1000	0.18633582194462925		_	_	_	_	_		_	_	_	_	_	0.9583	0.9583	0.9583	0.9583
-86	20:54:31	2	0.1000	0.18582389025507537		_	_	_	_	_		_	_	_	_	_	0.9584	0.9584	0.9584	0.9584
-87	21:18:02	0	0.1000	0.18583678361469438		_	_	_	_	_		_	_	_	_	_	0.9584	0.9584	0.9584	0.9584
-88	21:41:34	1	0.1000	0.18316908685788577		_	_	_	_	_		_	_	_	_	_	0.9586	0.9586	0.9586	0.9586
-89	22:05:12	0	0.1000	0.18534635613074252		_	_	_	_	_		_	_	_	_	_	0.958	0.958	0.958	0.958
-90	22:28:54	1	0.1000	0.18384256521973166		_	_	_	_	_		_	_	_	_	_	0.9587	0.9587	0.9587	0.9587
-91	22:52:27	2	0.1000	0.18405010121052887		_	_	_	_	_		_	_	_	_	_	0.9588	0.9588	0.9588	0.9588
-92	23:15:59	0	0.0500	0.17556561555019948		_	_	_	_	_		_	_	_	_	_	0.9603	0.9603	0.9603	0.9603
-93	23:39:32	0	0.0500	0.16994592318872956		_	_	_	_	_		_	_	_	_	_	0.9603	0.9603	0.9603	0.9603
-94	00:03:02	0	0.0500	0.16775754866871675		_	_	_	_	_		_	_	_	_	_	0.9605	0.9605	0.9605	0.9605
-95	00:26:30	0	0.0500	0.167797892421305		_	_	_	_	_		_	_	_	_	_	0.9608	0.9608	0.9608	0.9608
-96	00:50:08	1	0.0500	0.1654042344597402		_	_	_	_	_		_	_	_	_	_	0.961	0.961	0.961	0.961
-97	01:13:54	0	0.0500	0.1638417892170097		_	_	_	_	_		_	_	_	_	_	0.9611	0.9611	0.9611	0.9611
-98	01:37:21	0	0.0500	0.1628716704711418		_	_	_	_	_		_	_	_	_	_	0.9615	0.9615	0.9615	0.9615
-99	02:00:54	0	0.0500	0.16135923191805748		_	_	_	_	_		_	_	_	_	_	0.9614	0.9614	0.9614	0.9614
-100	02:24:23	0	0.0500	0.16102960881517717		_	_	_	_	_		_	_	_	_	_	0.9614	0.9614	0.9614	0.9614
-101	02:47:58	0	0.0500	0.1597511584858509		_	_	_	_	_		_	_	_	_	_	0.9612	0.9612	0.9612	0.9612
-102	03:11:33	0	0.0500	0.158750009230552		_	_	_	_	_		_	_	_	_	_	0.9613	0.9613	0.9613	0.9613
-103	03:35:16	0	0.0500	0.1598144823844623		_	_	_	_	_		_	_	_	_	_	0.9617	0.9617	0.9617	0.9617
-104	03:58:47	1	0.0500	0.15843389315256012		_	_	_	_	_		_	_	_	_	_	0.962	0.962	0.962	0.962
-105	04:22:18	0	0.0500	0.1582850175641563		_	_	_	_	_		_	_	_	_	_	0.9619	0.9619	0.9619	0.9619
-106	04:45:55	0	0.0500	0.15683828063503616		_	_	_	_	_		_	_	_	_	_	0.9619	0.9619	0.9619	0.9619
-107	05:09:22	0	0.0500	0.15554793214376686		_	_	_	_	_		_	_	_	_	_	0.962	0.962	0.962	0.962
-108	05:32:50	0	0.0500	0.15559760241105475		_	_	_	_	_		_	_	_	_	_	0.9618	0.9618	0.9618	0.9618
-109	05:56:18	1	0.0500	0.15592738710675413		_	_	_	_	_		_	_	_	_	_	0.9619	0.9619	0.9619	0.9619
-110	06:19:57	2	0.0500	0.1559649915345551		_	_	_	_	_		_	_	_	_	_	0.9625	0.9625	0.9625	0.9625
-111	06:43:28	0	0.0250	0.15047709863006958		_	_	_	_	_		_	_	_	_	_	0.9626	0.9626	0.9626	0.9626
-112	07:06:53	0	0.0250	0.14901342020445227		_	_	_	_	_		_	_	_	_	_	0.9626	0.9626	0.9626	0.9626
-113	07:30:23	0	0.0250	0.14785490136836343		_	_	_	_	_		_	_	_	_	_	0.9629	0.9629	0.9629	0.9629
-114	07:53:54	0	0.0250	0.14793952625254247		_	_	_	_	_		_	_	_	_	_	0.963	0.963	0.963	0.963
-115	08:17:22	1	0.0250	0.14614440136844034		_	_	_	_	_		_	_	_	_	_	0.9629	0.9629	0.9629	0.9629
-116	08:41:03	0	0.0250	0.14456831456853306		_	_	_	_	_		_	_	_	_	_	0.9631	0.9631	0.9631	0.9631
-117	09:04:35	0	0.0250	0.1456362626140971		_	_	_	_	_		_	_	_	_	_	0.9631	0.9631	0.9631	0.9631
-118	09:28:00	1	0.0250	0.1439011391959644		_	_	_	_	_		_	_	_	_	_	0.9631	0.9631	0.9631	0.9631
-119	09:51:25	0	0.0250	0.14387666936879415		_	_	_	_	_		_	_	_	_	_	0.9632	0.9632	0.9632	0.9632
-120	10:14:51	0	0.0250	0.14368277304316643		_	_	_	_	_		_	_	_	_	_	0.9633	0.9633	0.9633	0.9633
-121	10:38:15	0	0.0250	0.14401180188408505		_	_	_	_	_		_	_	_	_	_	0.9632	0.9632	0.9632	0.9632
-122	11:01:45	1	0.0250	0.14190384826544228		_	_	_	_	_		_	_	_	_	_	0.9632	0.9632	0.9632	0.9632
-123	11:25:31	0	0.0250	0.14156404113846752		_	_	_	_	_		_	_	_	_	_	0.9633	0.9633	0.9633	0.9633
-124	11:49:02	0	0.0250	0.14334506448280024		_	_	_	_	_		_	_	_	_	_	0.9635	0.9635	0.9635	0.9635
-125	12:12:31	1	0.0250	0.1419388082834431		_	_	_	_	_		_	_	_	_	_	0.9634	0.9634	0.9634	0.9634
-126	12:36:00	2	0.0250	0.14170677811496898		_	_	_	_	_		_	_	_	_	_	0.9636	0.9636	0.9636	0.9636
-127	12:59:27	0	0.0125	0.13874942668664622		_	_	_	_	_		_	_	_	_	_	0.9638	0.9638	0.9638	0.9638
-128	13:22:56	0	0.0125	0.13761071341297706		_	_	_	_	_		_	_	_	_	_	0.9639	0.9639	0.9639	0.9639
-129	13:46:24	0	0.0125	0.13801613958699138		_	_	_	_	_		_	_	_	_	_	0.9639	0.9639	0.9639	0.9639
-130	14:10:12	1	0.0125	0.13691942280057715		_	_	_	_	_		_	_	_	_	_	0.964	0.964	0.964	0.964
-131	14:33:48	0	0.0125	0.13759175252124392		_	_	_	_	_		_	_	_	_	_	0.964	0.964	0.964	0.964
-132	14:57:26	1	0.0125	0.13605770421426944		_	_	_	_	_		_	_	_	_	_	0.964	0.964	0.964	0.964
-133	15:20:56	0	0.0125	0.13757905333765666		_	_	_	_	_		_	_	_	_	_	0.9641	0.9641	0.9641	0.9641
-134	15:44:27	1	0.0125	0.13585668101601625		_	_	_	_	_		_	_	_	_	_	0.964	0.964	0.964	0.964
-135	16:07:57	0	0.0125	0.1359525140283796		_	_	_	_	_		_	_	_	_	_	0.9641	0.9641	0.9641	0.9641
-136	16:31:41	1	0.0125	0.1353510881129821		_	_	_	_	_		_	_	_	_	_	0.9642	0.9642	0.9642	0.9642
-137	16:55:09	0	0.0125	0.13588478053671538		_	_	_	_	_		_	_	_	_	_	0.9641	0.9641	0.9641	0.9641
-138	17:18:45	1	0.0125	0.13547475301437173		_	_	_	_	_		_	_	_	_	_	0.9642	0.9642	0.9642	0.9642
-139	17:42:22	2	0.0125	0.13502782606054411		_	_	_	_	_		_	_	_	_	_	0.9642	0.9642	0.9642	0.9642
-140	18:05:53	0	0.0125	0.13481195497481782		_	_	_	_	_		_	_	_	_	_	0.9641	0.9641	0.9641	0.9641
-141	18:29:30	0	0.0125	0.13416481617924972		_	_	_	_	_		_	_	_	_	_	0.9645	0.9645	0.9645	0.9645
-142	18:53:03	0	0.0125	0.13502357041225113		_	_	_	_	_		_	_	_	_	_	0.9643	0.9643	0.9643	0.9643
-143	19:16:51	1	0.0125	0.1348685677112196		_	_	_	_	_		_	_	_	_	_	0.9643	0.9643	0.9643	0.9643
-144	19:40:23	2	0.0125	0.13317074967193576		_	_	_	_	_		_	_	_	_	_	0.9645	0.9645	0.9645	0.9645
-145	20:03:53	0	0.0125	0.13302220075108664		_	_	_	_	_		_	_	_	_	_	0.9644	0.9644	0.9644	0.9644
-146	20:27:21	0	0.0125	0.13223227358080888		_	_	_	_	_		_	_	_	_	_	0.9644	0.9644	0.9644	0.9644
-147	20:50:55	0	0.0125	0.13367648299557353		_	_	_	_	_		_	_	_	_	_	0.9644	0.9644	0.9644	0.9644
-148	21:14:30	1	0.0125	0.13366286128920055		_	_	_	_	_		_	_	_	_	_	0.9644	0.9644	0.9644	0.9644
-149	21:38:15	2	0.0125	0.13307078396670677		_	_	_	_	_		_	_	_	_	_	0.9641	0.9641	0.9641	0.9641

+EPOCH	TIMESTAMP	LEARNING_RATE	TRAIN_LOSS
+1	00:11:58	0.1000	0.4237
+2	00:36:04	0.1000	0.3138
+3	01:00:09	0.1000	0.2869
+4	01:24:15	0.1000	0.2718
+5	01:48:19	0.1000	0.2614
+6	02:12:23	0.1000	0.2538
+7	02:36:31	0.1000	0.2477
+8	03:00:37	0.1000	0.2433
+9	03:24:44	0.1000	0.2389
+10	03:48:50	0.1000	0.2355
+11	04:12:56	0.1000	0.2322
+12	04:37:02	0.1000	0.2295
+13	05:01:09	0.1000	0.2276
+14	05:25:13	0.1000	0.2256
+15	05:49:17	0.1000	0.2236
+16	06:13:25	0.1000	0.2215
+17	06:37:30	0.1000	0.2203
+18	07:01:38	0.1000	0.2190
+19	07:25:43	0.1000	0.2176
+20	07:49:49	0.1000	0.2165
+21	08:13:57	0.1000	0.2152
+22	08:38:03	0.1000	0.2142
+23	09:02:11	0.1000	0.2128
+24	09:26:16	0.1000	0.2114
+25	09:50:23	0.1000	0.2116
+26	10:14:28	0.1000	0.2099
+27	10:38:33	0.1000	0.2099
+28	11:02:37	0.1000	0.2089
+29	11:26:44	0.1000	0.2082
+30	11:50:52	0.1000	0.2078
+31	12:14:56	0.1000	0.2071
+32	12:39:00	0.1000	0.2064
+33	13:03:07	0.1000	0.2053
+34	13:27:14	0.1000	0.2052
+35	13:51:21	0.1000	0.2043
+36	14:15:27	0.1000	0.2042
+37	14:39:31	0.1000	0.2037
+38	15:03:36	0.1000	0.2032
+39	15:27:41	0.1000	0.2025
+40	15:51:47	0.1000	0.2023
+41	16:15:52	0.1000	0.2017
+42	16:39:56	0.1000	0.2015
+43	17:04:01	0.1000	0.2011
+44	17:28:07	0.1000	0.2007
+45	17:52:13	0.1000	0.2002
+46	18:16:20	0.1000	0.1999
+47	18:40:25	0.1000	0.1996
+48	19:04:30	0.1000	0.1996
+49	19:28:33	0.1000	0.1986
+50	19:52:39	0.1000	0.1994
+51	20:16:47	0.1000	0.1985
+52	20:40:52	0.1000	0.1980
+53	21:05:00	0.1000	0.1977
+54	21:29:04	0.1000	0.1980
+55	21:53:10	0.1000	0.1971
+56	22:17:14	0.1000	0.1971
+57	22:41:19	0.1000	0.1971
+58	23:05:25	0.1000	0.1967
+59	23:29:26	0.1000	0.1963
+60	23:53:31	0.1000	0.1962
+61	00:17:34	0.1000	0.1958
+62	00:41:38	0.1000	0.1956
+63	01:05:45	0.1000	0.1958
+64	01:29:52	0.1000	0.1951
+65	01:54:01	0.1000	0.1949
+66	02:18:05	0.1000	0.1948
+67	02:42:11	0.1000	0.1946
+68	03:06:20	0.1000	0.1947
+69	03:30:26	0.1000	0.1947
+70	03:54:29	0.1000	0.1944
+71	04:18:35	0.1000	0.1941
+72	04:42:43	0.1000	0.1940
+73	05:06:48	0.1000	0.1935
+74	05:30:53	0.1000	0.1938
+75	05:54:57	0.1000	0.1939
+76	06:19:06	0.1000	0.1930
+77	06:43:09	0.1000	0.1930
+78	07:07:16	0.1000	0.1931
+79	07:31:22	0.1000	0.1930
+80	07:55:27	0.1000	0.1926
+81	08:19:29	0.1000	0.1929
+82	08:43:34	0.1000	0.1921
+83	09:07:40	0.1000	0.1925
+84	09:31:42	0.1000	0.1928
+85	09:55:48	0.1000	0.1925
+86	10:19:54	0.1000	0.1920
+87	10:43:58	0.1000	0.1922
+88	11:08:01	0.1000	0.1920
+89	11:32:09	0.1000	0.1916
+90	11:56:13	0.1000	0.1915
+91	12:20:17	0.1000	0.1916
+92	12:44:24	0.1000	0.1916
+93	13:08:31	0.1000	0.1917
+94	13:32:34	0.1000	0.1918
+95	13:56:40	0.0500	0.1802
+96	14:20:45	0.0500	0.1768
+97	14:44:51	0.0500	0.1755
+98	15:08:58	0.0500	0.1735
+99	15:33:05	0.0500	0.1730
+100	15:57:10	0.0500	0.1726
+101	16:21:15	0.0500	0.1714
+102	16:45:23	0.0500	0.1711
+103	17:09:31	0.0500	0.1704
+104	17:33:39	0.0500	0.1702
+105	17:57:44	0.0500	0.1703
+106	18:21:47	0.0500	0.1691
+107	18:45:51	0.0500	0.1694
+108	19:09:55	0.0500	0.1687
+109	19:34:01	0.0500	0.1686
+110	19:58:07	0.0500	0.1682
+111	20:22:12	0.0500	0.1681
+112	20:46:19	0.0500	0.1673
+113	21:10:26	0.0500	0.1671
+114	21:34:32	0.0500	0.1668
+115	21:58:40	0.0500	0.1665
+116	22:22:46	0.0500	0.1667
+117	22:46:55	0.0500	0.1662
+118	23:11:00	0.0500	0.1658
+119	23:35:04	0.0500	0.1660
+120	23:59:12	0.0500	0.1657
+121	00:23:14	0.0500	0.1659
+122	00:47:20	0.0500	0.1654
+123	01:11:23	0.0500	0.1652
+124	01:35:31	0.0500	0.1650
+125	01:59:40	0.0500	0.1647
+126	02:23:48	0.0500	0.1646
+127	02:47:53	0.0500	0.1641
+128	03:11:58	0.0500	0.1641
+129	03:36:06	0.0500	0.1642
+130	04:00:12	0.0500	0.1637
+131	04:24:17	0.0500	0.1637
+132	04:48:23	0.0500	0.1632
+133	05:12:29	0.0500	0.1633
+134	05:36:36	0.0500	0.1629
+135	06:00:40	0.0500	0.1629
+136	06:24:46	0.0500	0.1626
+137	06:48:53	0.0500	0.1626
+138	07:12:58	0.0500	0.1625
+139	07:37:01	0.0500	0.1617
+140	08:01:07	0.0500	0.1620
+141	08:25:13	0.0500	0.1619
+142	08:49:18	0.0500	0.1617
+143	09:13:22	0.0500	0.1616
+144	09:37:28	0.0500	0.1613
+145	10:01:34	0.0500	0.1606
+146	10:25:40	0.0500	0.1612
+147	10:49:46	0.0500	0.1611
+148	11:13:52	0.0500	0.1608
+149	11:37:56	0.0500	0.1607
+150	12:02:00	0.0250	0.1558

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3402226c5babc6cd0b34fc0a16d05528603634255fec03d455621f6898a9433c
-size 314055714

 version https://git-lfs.github.com/spec/v1
+oid sha256:a01ffffa385dabfebe791703cf37f82b5b4811de243a46967d907544112bb28e
+size 253762544

training.log CHANGED Viewed

The diff for this file is too large to render. See raw diff