Commit
•
d502261
1
Parent(s):
2c62877
Update spaCy pipeline
Browse files- .ipynb_checkpoints/train_steps_log-checkpoint.txt +48 -0
- README.md +3 -3
- en_student_name_detector-any-py3-none-any.whl +2 -2
- meta.json +11 -11
- train_steps_log.txt +48 -0
.ipynb_checkpoints/train_steps_log-checkpoint.txt
ADDED
@@ -0,0 +1,48 @@
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+
E # LOSS TRANS... LOSS NER ENTS_F ENTS_P ENTS_R SCORE
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--- ------ ------------- -------- ------ ------ ------ ------
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0 0 1193.22 3047.90 0.05 0.02 44.30 0.40
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0 200 89606.84 194914.17 3.20 1.66 41.67 0.38
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0 400 56010.79 43259.73 2.17 1.13 27.19 0.25
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0 600 237.83 43446.87 4.71 2.45 60.09 0.54
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1 800 37115.10 42706.92 4.77 2.48 60.09 0.54
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1 1000 130796.25 44942.18 4.71 2.45 59.65 0.54
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1 1200 99605.99 47664.35 5.61 2.92 71.49 0.65
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2 1400 146509.33 41937.85 5.47 2.85 69.74 0.63
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2 1600 94198.77 40928.37 5.94 3.09 75.44 0.68
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2 1800 134.86 37308.57 4.85 2.52 61.40 0.56
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2 2000 59529.06 40560.74 5.60 2.92 71.05 0.64
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3 2200 1911.47 40079.10 5.93 3.09 75.44 0.68
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3 2400 16379.08 39410.89 6.00 3.12 76.32 0.69
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3 2600 181.07 30997.83 5.55 2.89 70.61 0.64
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4 2800 14297.08 26663.79 5.83 3.04 74.12 0.67
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4 3000 53522.17 24156.92 5.72 2.97 72.81 0.66
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4 3200 21847.06 19654.48 5.97 3.11 75.88 0.69
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4 3400 125771.16 16052.71 78.44 82.21 75.00 0.76
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5 3600 277230.48 11326.47 82.25 84.33 80.26 0.81
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5 3800 31085.45 6978.98 81.82 90.00 75.00 0.77
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5 4000 87.99 4278.98 84.72 89.71 80.26 0.81
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6 4200 150.64 2555.51 82.16 88.38 76.75 0.78
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6 4400 272414.49 1653.23 77.75 73.91 82.02 0.81
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6 4600 299.36 730.39 77.42 81.55 73.68 0.74
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6 4800 76129.61 489.18 75.48 73.44 77.63 0.77
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7 5000 125191.91 289.88 79.61 89.13 71.93 0.74
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7 5200 1227092.54 931.80 81.11 85.44 77.19 0.78
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7 5400 111861.60 211.50 80.28 86.36 75.00 0.76
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8 5600 15200.30 90.74 84.06 88.78 79.82 0.81
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8 5800 8954.63 100.49 83.56 87.14 80.26 0.81
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8 6000 67.66 22.01 84.82 86.36 83.33 0.84
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8 6200 1937881.38 368.50 85.51 91.50 80.26 0.81
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9 6400 2484790.71 907.41 83.63 84.38 82.89 0.83
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9 6600 163576.46 138.34 82.64 82.82 82.46 0.82
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9 6800 154802.09 158.06 82.61 81.90 83.33 0.83
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10 7000 562550.26 311.55 83.66 83.12 84.21 0.84
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10 7200 465103.58 327.55 79.72 85.07 75.00 0.76
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10 7400 248.32 50.10 79.82 79.82 79.82 0.80
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10 7600 229226.21 255.05 82.54 85.45 79.82 0.80
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11 7800 205179.70 156.31 82.92 86.26 79.82 0.80
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11 8000 602927.17 250.93 84.40 88.46 80.70 0.81
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11 8200 1972288.53 592.70 85.25 89.81 81.14 0.82
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12 8400 248.31 44.60 85.52 88.32 82.89 0.83
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12 8600 916323.58 316.59 84.63 85.97 83.33 0.84
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12 8800 56.26 16.94 80.75 77.20 84.65 0.84
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12 9000 503.44 54.06 83.94 87.98 80.26 0.81
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README.md
CHANGED
@@ -13,11 +13,11 @@ model-index:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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---
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8311688312
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- name: NER Recall
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type: recall
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value: 0.8421052632
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- name: NER F Score
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type: f_score
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value: 0.8366013072
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---
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en_student_name_detector-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f7471fd88a60cd66107c1a0a13589ca36f88458c385edae26957454d19eb8c42
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+
size 521550516
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meta.json
CHANGED
@@ -7,8 +7,8 @@
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"email":"",
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"url":"",
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"license":"",
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-
"spacy_version":">=3.
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"spacy_git_version":"
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"vectors":{
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"width":0,
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"vectors":0,
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],
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"performance":{
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-
"ents_f":0.
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"ents_p":0.
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"ents_r":0.
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"ents_per_type":{
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"STUDENT":{
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"p":0.
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"r":0.
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"f":0.
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}
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},
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-
"speed":
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-
"transformer_loss":
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"ner_loss":
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},
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"requirements":[
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"spacy-transformers>=1.1.7,<1.2.0"
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"email":"",
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"url":"",
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"license":"",
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+
"spacy_version":">=3.4.1,<3.5.0",
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"spacy_git_version":"5c2a00cef",
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"vectors":{
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"width":0,
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"vectors":0,
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],
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"performance":{
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"ents_f":0.8366013072,
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"ents_p":0.8311688312,
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"ents_r":0.8421052632,
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"ents_per_type":{
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"STUDENT":{
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"p":0.8311688312,
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"r":0.8421052632,
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"f":0.8366013072
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}
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},
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"speed":22300.9340042652,
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"transformer_loss":562550.263513213,
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"ner_loss":311.5489451973
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},
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"requirements":[
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"spacy-transformers>=1.1.7,<1.2.0"
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train_steps_log.txt
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+
E # LOSS TRANS... LOSS NER ENTS_F ENTS_P ENTS_R SCORE
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2 |
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--- ------ ------------- -------- ------ ------ ------ ------
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0 0 1193.22 3047.90 0.05 0.02 44.30 0.40
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0 200 89606.84 194914.17 3.20 1.66 41.67 0.38
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0 400 56010.79 43259.73 2.17 1.13 27.19 0.25
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0 600 237.83 43446.87 4.71 2.45 60.09 0.54
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1 800 37115.10 42706.92 4.77 2.48 60.09 0.54
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1 1000 130796.25 44942.18 4.71 2.45 59.65 0.54
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1 1200 99605.99 47664.35 5.61 2.92 71.49 0.65
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2 1400 146509.33 41937.85 5.47 2.85 69.74 0.63
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2 1600 94198.77 40928.37 5.94 3.09 75.44 0.68
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2 1800 134.86 37308.57 4.85 2.52 61.40 0.56
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2 2000 59529.06 40560.74 5.60 2.92 71.05 0.64
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3 2200 1911.47 40079.10 5.93 3.09 75.44 0.68
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3 2400 16379.08 39410.89 6.00 3.12 76.32 0.69
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3 2600 181.07 30997.83 5.55 2.89 70.61 0.64
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4 2800 14297.08 26663.79 5.83 3.04 74.12 0.67
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4 3000 53522.17 24156.92 5.72 2.97 72.81 0.66
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4 3200 21847.06 19654.48 5.97 3.11 75.88 0.69
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4 3400 125771.16 16052.71 78.44 82.21 75.00 0.76
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5 3600 277230.48 11326.47 82.25 84.33 80.26 0.81
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5 3800 31085.45 6978.98 81.82 90.00 75.00 0.77
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5 4000 87.99 4278.98 84.72 89.71 80.26 0.81
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6 4200 150.64 2555.51 82.16 88.38 76.75 0.78
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6 4400 272414.49 1653.23 77.75 73.91 82.02 0.81
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6 4600 299.36 730.39 77.42 81.55 73.68 0.74
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+
6 4800 76129.61 489.18 75.48 73.44 77.63 0.77
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7 5000 125191.91 289.88 79.61 89.13 71.93 0.74
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7 5200 1227092.54 931.80 81.11 85.44 77.19 0.78
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7 5400 111861.60 211.50 80.28 86.36 75.00 0.76
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8 5600 15200.30 90.74 84.06 88.78 79.82 0.81
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8 5800 8954.63 100.49 83.56 87.14 80.26 0.81
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8 6000 67.66 22.01 84.82 86.36 83.33 0.84
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8 6200 1937881.38 368.50 85.51 91.50 80.26 0.81
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9 6400 2484790.71 907.41 83.63 84.38 82.89 0.83
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9 6600 163576.46 138.34 82.64 82.82 82.46 0.82
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9 6800 154802.09 158.06 82.61 81.90 83.33 0.83
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10 7000 562550.26 311.55 83.66 83.12 84.21 0.84
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10 7200 465103.58 327.55 79.72 85.07 75.00 0.76
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10 7400 248.32 50.10 79.82 79.82 79.82 0.80
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10 7600 229226.21 255.05 82.54 85.45 79.82 0.80
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11 7800 205179.70 156.31 82.92 86.26 79.82 0.80
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11 8000 602927.17 250.93 84.40 88.46 80.70 0.81
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11 8200 1972288.53 592.70 85.25 89.81 81.14 0.82
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12 8400 248.31 44.60 85.52 88.32 82.89 0.83
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12 8600 916323.58 316.59 84.63 85.97 83.33 0.84
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12 8800 56.26 16.94 80.75 77.20 84.65 0.84
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12 9000 503.44 54.06 83.94 87.98 80.26 0.81
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