ArneBinder commited on
Commit
df85382
1 Parent(s): 83115b0

add train config and metadata

Browse files
Files changed (4) hide show
  1. conda-environment.yaml +200 -0
  2. config.yaml +837 -0
  3. wandb-metadata.json +117 -0
  4. wandb-summary.json +1 -0
conda-environment.yaml ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pie-document-level
2
+ channels:
3
+ - pytorch
4
+ - defaults
5
+ dependencies:
6
+ - _libgcc_mutex=0.1=main
7
+ - _openmp_mutex=5.1=1_gnu
8
+ - ca-certificates=2023.05.30=h06a4308_0
9
+ - ld_impl_linux-64=2.38=h1181459_1
10
+ - libffi=3.4.4=h6a678d5_0
11
+ - libgcc-ng=11.2.0=h1234567_1
12
+ - libgomp=11.2.0=h1234567_1
13
+ - libstdcxx-ng=11.2.0=h1234567_1
14
+ - ncurses=6.4=h6a678d5_0
15
+ - openssl=3.0.10=h7f8727e_2
16
+ - pip=23.2.1=py39h06a4308_0
17
+ - python=3.9.17=h955ad1f_0
18
+ - readline=8.2=h5eee18b_0
19
+ - setuptools=68.0.0=py39h06a4308_0
20
+ - sqlite=3.41.2=h5eee18b_0
21
+ - tk=8.6.12=h1ccaba5_0
22
+ - wheel=0.38.4=py39h06a4308_0
23
+ - xz=5.4.2=h5eee18b_0
24
+ - zlib=1.2.13=h5eee18b_0
25
+ - pip:
26
+ - absl-py==1.4.0
27
+ - accelerate==0.22.0
28
+ - aiohttp==3.8.5
29
+ - aiosignal==1.3.1
30
+ - alembic==1.12.0
31
+ - annotated-types==0.5.0
32
+ - antlr4-python3-runtime==4.9.3
33
+ - appdirs==1.4.4
34
+ - asciidag==0.2.0
35
+ - async-timeout==4.0.3
36
+ - attrs==23.1.0
37
+ - auto-gptq==0.4.2
38
+ - autopage==0.5.1
39
+ - black==23.7.0
40
+ - blis==0.7.10
41
+ - catalogue==2.0.9
42
+ - certifi==2023.7.22
43
+ - cfgv==3.4.0
44
+ - charset-normalizer==3.2.0
45
+ - click==8.1.7
46
+ - cliff==4.3.0
47
+ - cmaes==0.10.0
48
+ - cmake==3.27.4.1
49
+ - cmd2==2.4.3
50
+ - coloredlogs==15.0.1
51
+ - colorlog==6.7.0
52
+ - confection==0.1.1
53
+ - coverage==7.3.0
54
+ - cymem==2.0.7
55
+ - datasets==2.14.4
56
+ - dill==0.3.7
57
+ - distlib==0.3.7
58
+ - docker-pycreds==0.4.0
59
+ - en-core-web-trf==3.6.1
60
+ - exceptiongroup==1.1.3
61
+ - fastjsonschema==2.18.0
62
+ - filelock==3.12.3
63
+ - flake8==6.1.0
64
+ - frozenlist==1.4.0
65
+ - fsspec==2023.6.0
66
+ - gitdb==4.0.10
67
+ - gitpython==3.1.34
68
+ - greenlet==2.0.2
69
+ - huggingface-hub==0.19.4
70
+ - humanfriendly==10.0
71
+ - hydra-colorlog==1.2.0
72
+ - hydra-core==1.3.2
73
+ - hydra-optuna-sweeper==1.2.0
74
+ - identify==2.5.27
75
+ - idna==3.4
76
+ - importlib-metadata==6.8.0
77
+ - iniconfig==2.0.0
78
+ - isort==5.12.0
79
+ - jedi==0.19.0
80
+ - jinja2==3.1.2
81
+ - joblib==1.3.2
82
+ - jsonschema==4.19.0
83
+ - jsonschema-specifications==2023.7.1
84
+ - jupyter-core==5.3.1
85
+ - langcodes==3.3.0
86
+ - lightning-utilities==0.9.0
87
+ - lit==16.0.6
88
+ - mako==1.2.4
89
+ - markdown-it-py==3.0.0
90
+ - markupsafe==2.1.3
91
+ - mccabe==0.7.0
92
+ - mdurl==0.1.2
93
+ - mpmath==1.3.0
94
+ - multidict==6.0.4
95
+ - multiprocess==0.70.15
96
+ - murmurhash==1.0.9
97
+ - mypy-extensions==1.0.0
98
+ - nbformat==5.9.2
99
+ - nbstripout==0.6.1
100
+ - networkx==3.1
101
+ - nltk==3.8.1
102
+ - nodeenv==1.8.0
103
+ - numpy==1.25.2
104
+ - nvidia-cublas-cu11==11.10.3.66
105
+ - nvidia-cuda-cupti-cu11==11.7.101
106
+ - nvidia-cuda-nvrtc-cu11==11.7.99
107
+ - nvidia-cuda-runtime-cu11==11.7.99
108
+ - nvidia-cudnn-cu11==8.5.0.96
109
+ - nvidia-cufft-cu11==10.9.0.58
110
+ - nvidia-curand-cu11==10.2.10.91
111
+ - nvidia-cusolver-cu11==11.4.0.1
112
+ - nvidia-cusparse-cu11==11.7.4.91
113
+ - nvidia-nccl-cu11==2.14.3
114
+ - nvidia-nvtx-cu11==11.7.91
115
+ - omegaconf==2.3.0
116
+ - optimum==1.12.0
117
+ - optuna==2.10.1
118
+ - packaging==23.1
119
+ - pandas==2.1.0
120
+ - parso==0.8.3
121
+ - pathspec==0.11.2
122
+ - pathtools==0.1.2
123
+ - pathy==0.10.2
124
+ - pbr==5.11.1
125
+ - peft==0.5.0
126
+ - pie-datasets==0.8.1
127
+ - pie-models==0.3.0
128
+ - pie-modules==0.10.6
129
+ - platformdirs==3.10.0
130
+ - plotext==5.2.8
131
+ - pluggy==1.3.0
132
+ - pre-commit==3.4.0
133
+ - preshed==3.0.8
134
+ - prettytable==3.8.0
135
+ - protobuf==4.24.2
136
+ - psutil==5.9.5
137
+ - pudb==2022.1.3
138
+ - pyarrow==13.0.0
139
+ - pycodestyle==2.11.0
140
+ - pydantic==2.3.0
141
+ - pydantic-core==2.6.3
142
+ - pyflakes==3.1.0
143
+ - pygments==2.16.1
144
+ - pyperclip==1.8.2
145
+ - pyrootutils==1.0.4
146
+ - pytest==7.4.1
147
+ - pytest-cov==4.1.0
148
+ - python-dateutil==2.8.2
149
+ - python-dotenv==1.0.0
150
+ - pytorch-crf==0.7.2
151
+ - pytorch-ie==0.29.8
152
+ - pytorch-lightning==2.1.2
153
+ - pytz==2023.3.post1
154
+ - pyyaml==6.0.1
155
+ - referencing==0.30.2
156
+ - regex==2023.8.8
157
+ - requests==2.31.0
158
+ - rich==13.5.2
159
+ - rouge==1.0.1
160
+ - rpds-py==0.10.2
161
+ - safetensors==0.3.3
162
+ - scipy==1.11.2
163
+ - sentencepiece==0.1.99
164
+ - sentry-sdk==1.30.0
165
+ - setproctitle==1.3.2
166
+ - sh==2.0.6
167
+ - six==1.16.0
168
+ - smart-open==6.3.0
169
+ - smmap==5.0.0
170
+ - spacy-alignments==0.9.0
171
+ - spacy-legacy==3.0.12
172
+ - spacy-loggers==1.0.4
173
+ - sqlalchemy==2.0.20
174
+ - srsly==2.4.7
175
+ - stevedore==5.1.0
176
+ - sympy==1.12
177
+ - tabulate==0.9.0
178
+ - thinc==8.1.12
179
+ - tokenizers==0.15.0
180
+ - tomli==2.0.1
181
+ - torch==2.0.0
182
+ - torchmetrics==1.1.1
183
+ - tqdm==4.66.1
184
+ - traitlets==5.9.0
185
+ - transformers==4.36.0
186
+ - triton==2.0.0
187
+ - typer==0.9.0
188
+ - typing-extensions==4.7.1
189
+ - tzdata==2023.3
190
+ - urllib3==2.0.4
191
+ - urwid==2.1.2
192
+ - urwid-readline==0.13
193
+ - virtualenv==20.24.4
194
+ - wandb==0.15.9
195
+ - wasabi==1.1.2
196
+ - wcwidth==0.2.6
197
+ - xxhash==3.3.0
198
+ - yarl==1.9.2
199
+ - zipp==3.16.2
200
+ prefix: /home/arne/miniconda3/envs/pie-document-level
config.yaml ADDED
@@ -0,0 +1,837 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ wandb_version: 1
2
+
3
+ _wandb:
4
+ desc: null
5
+ value:
6
+ python_version: 3.9.17
7
+ cli_version: 0.15.9
8
+ framework: huggingface
9
+ huggingface_version: 4.36.0
10
+ is_jupyter_run: false
11
+ is_kaggle_kernel: false
12
+ start_time: 1709313942.075548
13
+ t:
14
+ 1:
15
+ - 1
16
+ - 9
17
+ - 11
18
+ - 49
19
+ - 50
20
+ - 51
21
+ - 55
22
+ - 71
23
+ - 103
24
+ 2:
25
+ - 1
26
+ - 9
27
+ - 11
28
+ - 49
29
+ - 50
30
+ - 51
31
+ - 55
32
+ - 71
33
+ - 103
34
+ 3:
35
+ - 2
36
+ - 7
37
+ - 15
38
+ - 23
39
+ 4: 3.9.17
40
+ 5: 0.15.9
41
+ 6: 4.36.0
42
+ 8:
43
+ - 5
44
+ m:
45
+ - 1: trainer/global_step
46
+ 6:
47
+ - 3
48
+ - 1: loss/train_step
49
+ 5: 1
50
+ 6:
51
+ - 1
52
+ - 1: epoch
53
+ 5: 1
54
+ 6:
55
+ - 1
56
+ - 1: loss/val
57
+ 5: 1
58
+ 6:
59
+ - 1
60
+ - 1: metric/exact_encoding_matches/val
61
+ 5: 1
62
+ 6:
63
+ - 1
64
+ - 1: metric/decoding_errors/all/val
65
+ 5: 1
66
+ 6:
67
+ - 1
68
+ - 1: metric/labeled_spans/micro/f1/val
69
+ 5: 1
70
+ 6:
71
+ - 1
72
+ - 1: metric/labeled_spans/micro/recall/val
73
+ 5: 1
74
+ 6:
75
+ - 1
76
+ - 1: metric/labeled_spans/micro/precision/val
77
+ 5: 1
78
+ 6:
79
+ - 1
80
+ - 1: metric/labeled_spans/background_claim/f1/val
81
+ 5: 1
82
+ 6:
83
+ - 1
84
+ - 1: metric/labeled_spans/background_claim/recall/val
85
+ 5: 1
86
+ 6:
87
+ - 1
88
+ - 1: metric/labeled_spans/background_claim/precision/val
89
+ 5: 1
90
+ 6:
91
+ - 1
92
+ - 1: metric/labeled_spans/data/f1/val
93
+ 5: 1
94
+ 6:
95
+ - 1
96
+ - 1: metric/labeled_spans/data/recall/val
97
+ 5: 1
98
+ 6:
99
+ - 1
100
+ - 1: metric/labeled_spans/data/precision/val
101
+ 5: 1
102
+ 6:
103
+ - 1
104
+ - 1: metric/labeled_spans/own_claim/f1/val
105
+ 5: 1
106
+ 6:
107
+ - 1
108
+ - 1: metric/labeled_spans/own_claim/recall/val
109
+ 5: 1
110
+ 6:
111
+ - 1
112
+ - 1: metric/labeled_spans/own_claim/precision/val
113
+ 5: 1
114
+ 6:
115
+ - 1
116
+ - 1: metric/labeled_spans/macro/f1/val
117
+ 5: 1
118
+ 6:
119
+ - 1
120
+ - 1: metric/labeled_spans/macro/recall/val
121
+ 5: 1
122
+ 6:
123
+ - 1
124
+ - 1: metric/labeled_spans/macro/precision/val
125
+ 5: 1
126
+ 6:
127
+ - 1
128
+ - 1: metric/binary_relations/micro/f1/val
129
+ 5: 1
130
+ 6:
131
+ - 1
132
+ - 1: metric/binary_relations/micro/recall/val
133
+ 5: 1
134
+ 6:
135
+ - 1
136
+ - 1: metric/binary_relations/micro/precision/val
137
+ 5: 1
138
+ 6:
139
+ - 1
140
+ - 1: metric/binary_relations/parts_of_same/f1/val
141
+ 5: 1
142
+ 6:
143
+ - 1
144
+ - 1: metric/binary_relations/parts_of_same/recall/val
145
+ 5: 1
146
+ 6:
147
+ - 1
148
+ - 1: metric/binary_relations/parts_of_same/precision/val
149
+ 5: 1
150
+ 6:
151
+ - 1
152
+ - 1: metric/binary_relations/supports/f1/val
153
+ 5: 1
154
+ 6:
155
+ - 1
156
+ - 1: metric/binary_relations/supports/recall/val
157
+ 5: 1
158
+ 6:
159
+ - 1
160
+ - 1: metric/binary_relations/supports/precision/val
161
+ 5: 1
162
+ 6:
163
+ - 1
164
+ - 1: metric/binary_relations/contradicts/f1/val
165
+ 5: 1
166
+ 6:
167
+ - 1
168
+ - 1: metric/binary_relations/contradicts/recall/val
169
+ 5: 1
170
+ 6:
171
+ - 1
172
+ - 1: metric/binary_relations/contradicts/precision/val
173
+ 5: 1
174
+ 6:
175
+ - 1
176
+ - 1: metric/binary_relations/macro/f1/val
177
+ 5: 1
178
+ 6:
179
+ - 1
180
+ - 1: metric/binary_relations/macro/recall/val
181
+ 5: 1
182
+ 6:
183
+ - 1
184
+ - 1: metric/binary_relations/macro/precision/val
185
+ 5: 1
186
+ 6:
187
+ - 1
188
+ - 1: metric/binary_relations/semantically_same/f1/val
189
+ 5: 1
190
+ 6:
191
+ - 1
192
+ - 1: metric/binary_relations/semantically_same/recall/val
193
+ 5: 1
194
+ 6:
195
+ - 1
196
+ - 1: metric/binary_relations/semantically_same/precision/val
197
+ 5: 1
198
+ 6:
199
+ - 1
200
+ - 1: loss/train_epoch
201
+ 5: 1
202
+ 6:
203
+ - 1
204
+ - 1: metric/exact_encoding_matches/train
205
+ 5: 1
206
+ 6:
207
+ - 1
208
+ - 1: metric/decoding_errors/label/train
209
+ 5: 1
210
+ 6:
211
+ - 1
212
+ - 1: metric/decoding_errors/index/train
213
+ 5: 1
214
+ 6:
215
+ - 1
216
+ - 1: metric/decoding_errors/len/train
217
+ 5: 1
218
+ 6:
219
+ - 1
220
+ - 1: metric/decoding_errors/order/train
221
+ 5: 1
222
+ 6:
223
+ - 1
224
+ - 1: metric/decoding_errors/correct/train
225
+ 5: 1
226
+ 6:
227
+ - 1
228
+ - 1: metric/decoding_errors/all/train
229
+ 5: 1
230
+ 6:
231
+ - 1
232
+ - 1: metric/labeled_spans/background_claim/f1/train
233
+ 5: 1
234
+ 6:
235
+ - 1
236
+ - 1: metric/labeled_spans/background_claim/recall/train
237
+ 5: 1
238
+ 6:
239
+ - 1
240
+ - 1: metric/labeled_spans/background_claim/precision/train
241
+ 5: 1
242
+ 6:
243
+ - 1
244
+ - 1: metric/labeled_spans/data/f1/train
245
+ 5: 1
246
+ 6:
247
+ - 1
248
+ - 1: metric/labeled_spans/data/recall/train
249
+ 5: 1
250
+ 6:
251
+ - 1
252
+ - 1: metric/labeled_spans/data/precision/train
253
+ 5: 1
254
+ 6:
255
+ - 1
256
+ - 1: metric/labeled_spans/own_claim/f1/train
257
+ 5: 1
258
+ 6:
259
+ - 1
260
+ - 1: metric/labeled_spans/own_claim/recall/train
261
+ 5: 1
262
+ 6:
263
+ - 1
264
+ - 1: metric/labeled_spans/own_claim/precision/train
265
+ 5: 1
266
+ 6:
267
+ - 1
268
+ - 1: metric/labeled_spans/micro/f1/train
269
+ 5: 1
270
+ 6:
271
+ - 1
272
+ - 1: metric/labeled_spans/micro/recall/train
273
+ 5: 1
274
+ 6:
275
+ - 1
276
+ - 1: metric/labeled_spans/micro/precision/train
277
+ 5: 1
278
+ 6:
279
+ - 1
280
+ - 1: metric/labeled_spans/macro/f1/train
281
+ 5: 1
282
+ 6:
283
+ - 1
284
+ - 1: metric/labeled_spans/macro/recall/train
285
+ 5: 1
286
+ 6:
287
+ - 1
288
+ - 1: metric/labeled_spans/macro/precision/train
289
+ 5: 1
290
+ 6:
291
+ - 1
292
+ - 1: metric/binary_relations/supports/f1/train
293
+ 5: 1
294
+ 6:
295
+ - 1
296
+ - 1: metric/binary_relations/supports/recall/train
297
+ 5: 1
298
+ 6:
299
+ - 1
300
+ - 1: metric/binary_relations/supports/precision/train
301
+ 5: 1
302
+ 6:
303
+ - 1
304
+ - 1: metric/binary_relations/micro/f1/train
305
+ 5: 1
306
+ 6:
307
+ - 1
308
+ - 1: metric/binary_relations/micro/recall/train
309
+ 5: 1
310
+ 6:
311
+ - 1
312
+ - 1: metric/binary_relations/micro/precision/train
313
+ 5: 1
314
+ 6:
315
+ - 1
316
+ - 1: metric/binary_relations/parts_of_same/f1/train
317
+ 5: 1
318
+ 6:
319
+ - 1
320
+ - 1: metric/binary_relations/parts_of_same/recall/train
321
+ 5: 1
322
+ 6:
323
+ - 1
324
+ - 1: metric/binary_relations/parts_of_same/precision/train
325
+ 5: 1
326
+ 6:
327
+ - 1
328
+ - 1: metric/binary_relations/contradicts/f1/train
329
+ 5: 1
330
+ 6:
331
+ - 1
332
+ - 1: metric/binary_relations/contradicts/recall/train
333
+ 5: 1
334
+ 6:
335
+ - 1
336
+ - 1: metric/binary_relations/contradicts/precision/train
337
+ 5: 1
338
+ 6:
339
+ - 1
340
+ - 1: metric/binary_relations/semantically_same/f1/train
341
+ 5: 1
342
+ 6:
343
+ - 1
344
+ - 1: metric/binary_relations/semantically_same/recall/train
345
+ 5: 1
346
+ 6:
347
+ - 1
348
+ - 1: metric/binary_relations/semantically_same/precision/train
349
+ 5: 1
350
+ 6:
351
+ - 1
352
+ - 1: metric/binary_relations/macro/f1/train
353
+ 5: 1
354
+ 6:
355
+ - 1
356
+ - 1: metric/binary_relations/macro/recall/train
357
+ 5: 1
358
+ 6:
359
+ - 1
360
+ - 1: metric/binary_relations/macro/precision/train
361
+ 5: 1
362
+ 6:
363
+ - 1
364
+ - 1: metric/decoding_errors/correct/val
365
+ 5: 1
366
+ 6:
367
+ - 1
368
+ - 1: metric/decoding_errors/index/val
369
+ 5: 1
370
+ 6:
371
+ - 1
372
+ - 1: metric/decoding_errors/len/val
373
+ 5: 1
374
+ 6:
375
+ - 1
376
+ - 1: loss/test
377
+ 5: 1
378
+ 6:
379
+ - 1
380
+ - 1: metric/exact_encoding_matches/test
381
+ 5: 1
382
+ 6:
383
+ - 1
384
+ - 1: metric/decoding_errors/correct/test
385
+ 5: 1
386
+ 6:
387
+ - 1
388
+ - 1: metric/decoding_errors/all/test
389
+ 5: 1
390
+ 6:
391
+ - 1
392
+ - 1: metric/labeled_spans/micro/f1/test
393
+ 5: 1
394
+ 6:
395
+ - 1
396
+ - 1: metric/labeled_spans/micro/recall/test
397
+ 5: 1
398
+ 6:
399
+ - 1
400
+ - 1: metric/labeled_spans/micro/precision/test
401
+ 5: 1
402
+ 6:
403
+ - 1
404
+ - 1: metric/labeled_spans/own_claim/f1/test
405
+ 5: 1
406
+ 6:
407
+ - 1
408
+ - 1: metric/labeled_spans/own_claim/recall/test
409
+ 5: 1
410
+ 6:
411
+ - 1
412
+ - 1: metric/labeled_spans/own_claim/precision/test
413
+ 5: 1
414
+ 6:
415
+ - 1
416
+ - 1: metric/labeled_spans/background_claim/f1/test
417
+ 5: 1
418
+ 6:
419
+ - 1
420
+ - 1: metric/labeled_spans/background_claim/recall/test
421
+ 5: 1
422
+ 6:
423
+ - 1
424
+ - 1: metric/labeled_spans/background_claim/precision/test
425
+ 5: 1
426
+ 6:
427
+ - 1
428
+ - 1: metric/labeled_spans/data/f1/test
429
+ 5: 1
430
+ 6:
431
+ - 1
432
+ - 1: metric/labeled_spans/data/recall/test
433
+ 5: 1
434
+ 6:
435
+ - 1
436
+ - 1: metric/labeled_spans/data/precision/test
437
+ 5: 1
438
+ 6:
439
+ - 1
440
+ - 1: metric/labeled_spans/macro/f1/test
441
+ 5: 1
442
+ 6:
443
+ - 1
444
+ - 1: metric/labeled_spans/macro/recall/test
445
+ 5: 1
446
+ 6:
447
+ - 1
448
+ - 1: metric/labeled_spans/macro/precision/test
449
+ 5: 1
450
+ 6:
451
+ - 1
452
+ - 1: metric/binary_relations/micro/f1/test
453
+ 5: 1
454
+ 6:
455
+ - 1
456
+ - 1: metric/binary_relations/micro/recall/test
457
+ 5: 1
458
+ 6:
459
+ - 1
460
+ - 1: metric/binary_relations/micro/precision/test
461
+ 5: 1
462
+ 6:
463
+ - 1
464
+ - 1: metric/binary_relations/parts_of_same/f1/test
465
+ 5: 1
466
+ 6:
467
+ - 1
468
+ - 1: metric/binary_relations/parts_of_same/recall/test
469
+ 5: 1
470
+ 6:
471
+ - 1
472
+ - 1: metric/binary_relations/parts_of_same/precision/test
473
+ 5: 1
474
+ 6:
475
+ - 1
476
+ - 1: metric/binary_relations/supports/f1/test
477
+ 5: 1
478
+ 6:
479
+ - 1
480
+ - 1: metric/binary_relations/supports/recall/test
481
+ 5: 1
482
+ 6:
483
+ - 1
484
+ - 1: metric/binary_relations/supports/precision/test
485
+ 5: 1
486
+ 6:
487
+ - 1
488
+ - 1: metric/binary_relations/contradicts/f1/test
489
+ 5: 1
490
+ 6:
491
+ - 1
492
+ - 1: metric/binary_relations/contradicts/recall/test
493
+ 5: 1
494
+ 6:
495
+ - 1
496
+ - 1: metric/binary_relations/contradicts/precision/test
497
+ 5: 1
498
+ 6:
499
+ - 1
500
+ - 1: metric/binary_relations/semantically_same/f1/test
501
+ 5: 1
502
+ 6:
503
+ - 1
504
+ - 1: metric/binary_relations/semantically_same/recall/test
505
+ 5: 1
506
+ 6:
507
+ - 1
508
+ - 1: metric/binary_relations/semantically_same/precision/test
509
+ 5: 1
510
+ 6:
511
+ - 1
512
+ - 1: metric/binary_relations/macro/f1/test
513
+ 5: 1
514
+ 6:
515
+ - 1
516
+ - 1: metric/binary_relations/macro/recall/test
517
+ 5: 1
518
+ 6:
519
+ - 1
520
+ - 1: metric/binary_relations/macro/precision/test
521
+ 5: 1
522
+ 6:
523
+ - 1
524
+ _num_params/total:
525
+ desc: null
526
+ value: 141788928
527
+ _num_params/trainable:
528
+ desc: null
529
+ value: 141788928
530
+ _num_params/non_trainable:
531
+ desc: null
532
+ value: 0
533
+ _config:
534
+ desc: null
535
+ value:
536
+ pipeline_type: training
537
+ name: dataset-sciarg/task-ner_re/v0.3
538
+ tags:
539
+ - task=ner_re
540
+ - model=pointer_network
541
+ train: true
542
+ validate: true
543
+ test: true
544
+ monitor_metric: metric/binary_relations/micro/f1/val
545
+ monitor_mode: max
546
+ seed: 1
547
+ ckpt_path: null
548
+ push_to_hub: false
549
+ model_save_dir: /home/arne/projects/pie-document-level/models/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-32
550
+ dataset:
551
+ _target_: src.utils.execute_pipeline
552
+ input:
553
+ _target_: pie_datasets.DatasetDict.load_dataset
554
+ path: pie/sciarg
555
+ revision: 982d5682ba414ee13cf92cb93ec18fc8e78e2b81
556
+ select_n:
557
+ _processor_: pie_datasets.DatasetDict.select
558
+ split: train
559
+ stop: null
560
+ select_n_test:
561
+ _processor_: pie_datasets.DatasetDict.select
562
+ split: test
563
+ stop: null
564
+ select_n_validation:
565
+ _processor_: pie_datasets.DatasetDict.select
566
+ split: validation
567
+ stop: null
568
+ create_test_split:
569
+ _processor_: pie_datasets.DatasetDict.move_to_new_split
570
+ source_split: train
571
+ target_split: test
572
+ ids:
573
+ - A32
574
+ - A33
575
+ - A34
576
+ - A35
577
+ - A36
578
+ - A37
579
+ - A38
580
+ - A39
581
+ - A40
582
+ create_validation_split:
583
+ _processor_: pie_datasets.DatasetDict.add_test_split
584
+ test_size: 0.1
585
+ seed: 1
586
+ source_split: train
587
+ target_split: validation
588
+ datamodule:
589
+ _target_: src.datamodules.PieDataModule
590
+ batch_size: 2
591
+ num_workers: 0
592
+ pin_memory: false
593
+ show_progress_for_encode: true
594
+ train_split: train
595
+ val_split: validation
596
+ test_split: test
597
+ taskmodule:
598
+ _target_: pie_modules.taskmodules.PointerNetworkTaskModuleForEnd2EndRE
599
+ tokenizer_init_kwargs:
600
+ add_prefix_space: true
601
+ tokenizer_name_or_path: facebook/bart-base
602
+ tokenizer_kwargs:
603
+ truncation: true
604
+ return_overflowing_tokens: true
605
+ stride: 128
606
+ strict_span_conversion: false
607
+ create_constraints: true
608
+ constrained_generation: true
609
+ partition_layer_name: labeled_partitions
610
+ model:
611
+ _target_: pie_modules.models.SimpleGenerativeModel
612
+ base_model_type: pie_modules.models.base_models.BartAsPointerNetwork
613
+ base_model_config:
614
+ pretrained_model_name_or_path: facebook/bart-base
615
+ use_encoder_mlp: true
616
+ use_constraints_encoder_mlp: true
617
+ decoder_position_id_pattern:
618
+ - 0
619
+ - 0
620
+ - 1
621
+ - 0
622
+ - 0
623
+ - 1
624
+ - 1
625
+ encoder_layer_norm_decay: 0.005
626
+ lr: 6.0e-05
627
+ num_beams: 4
628
+ max_length: 768
629
+ decoder_layer_norm_decay: 0.05
630
+ metric_stages:
631
+ - val
632
+ - test
633
+ - train
634
+ metric_call_predict:
635
+ - val
636
+ - test
637
+ warmup_proportion: 0.01
638
+ callbacks:
639
+ model_checkpoint:
640
+ _target_: pytorch_lightning.callbacks.ModelCheckpoint
641
+ dirpath: /home/arne/projects/pie-document-level/logs/training/multiruns/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-31/0/checkpoints
642
+ filename: epoch_{epoch:03d}
643
+ monitor: metric/binary_relations/micro/f1/val
644
+ verbose: false
645
+ save_last: true
646
+ save_top_k: 1
647
+ mode: max
648
+ auto_insert_metric_name: false
649
+ save_weights_only: false
650
+ every_n_train_steps: null
651
+ train_time_interval: null
652
+ every_n_epochs: null
653
+ save_on_train_epoch_end: null
654
+ early_stopping:
655
+ _target_: pytorch_lightning.callbacks.EarlyStopping
656
+ monitor: metric/binary_relations/micro/f1/val
657
+ min_delta: 0.0
658
+ patience: 100
659
+ verbose: false
660
+ mode: max
661
+ strict: true
662
+ check_finite: true
663
+ stopping_threshold: null
664
+ divergence_threshold: null
665
+ check_on_train_epoch_end: null
666
+ model_summary:
667
+ _target_: pytorch_lightning.callbacks.RichModelSummary
668
+ max_depth: -1
669
+ rich_progress_bar:
670
+ _target_: pytorch_lightning.callbacks.RichProgressBar
671
+ logger:
672
+ wandb:
673
+ _target_: pytorch_lightning.loggers.wandb.WandbLogger
674
+ save_dir: /home/arne/projects/pie-document-level/logs/training/multiruns/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-31/0
675
+ offline: false
676
+ id: null
677
+ anonymous: null
678
+ project: dataset-sciarg-task-ner_re-v0.3-training
679
+ log_model: false
680
+ prefix: ''
681
+ group: ''
682
+ tags:
683
+ - task=ner_re
684
+ - model=pointer_network
685
+ job_type: ''
686
+ trainer:
687
+ _target_: pytorch_lightning.Trainer
688
+ default_root_dir: /home/arne/projects/pie-document-level/logs/training/multiruns/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-31/0
689
+ min_epochs: 150
690
+ max_epochs: 150
691
+ accelerator: gpu
692
+ devices: 1
693
+ check_val_every_n_epoch: 1
694
+ deterministic: false
695
+ gradient_clip_val: 5
696
+ gradient_clip_algorithm: value
697
+ paths:
698
+ root_dir: /home/arne/projects/pie-document-level
699
+ data_dir: /home/arne/projects/pie-document-level/data/
700
+ log_dir: /home/arne/projects/pie-document-level/logs/
701
+ output_dir: /home/arne/projects/pie-document-level/logs/training/multiruns/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-31/0
702
+ save_dir: /home/arne/projects/pie-document-level
703
+ work_dir: /home/arne/projects/pie-document-level
704
+ extras:
705
+ ignore_warnings: false
706
+ enforce_tags: true
707
+ print_config: true
708
+ base_model: facebook/bart-base
709
+ base_model_type:
710
+ desc: null
711
+ value: pie_modules.models.base_models.BartAsPointerNetwork
712
+ base_model_config:
713
+ desc: null
714
+ value:
715
+ pretrained_model_name_or_path: facebook/bart-base
716
+ use_encoder_mlp: true
717
+ use_constraints_encoder_mlp: true
718
+ decoder_position_id_pattern:
719
+ - 0
720
+ - 0
721
+ - 1
722
+ - 0
723
+ - 0
724
+ - 1
725
+ - 1
726
+ encoder_layer_norm_decay: 0.005
727
+ lr: 6.0e-05
728
+ num_beams: 4
729
+ max_length: 768
730
+ decoder_layer_norm_decay: 0.05
731
+ bos_token_id: 0
732
+ eos_token_id: 1
733
+ pad_token_id: 1
734
+ target_token_ids:
735
+ - 0
736
+ - 2
737
+ - 50267
738
+ - 50265
739
+ - 50268
740
+ - 50270
741
+ - 50271
742
+ - 50269
743
+ - 50272
744
+ - 50266
745
+ embedding_weight_mapping:
746
+ '50267':
747
+ - 4146
748
+ '50265':
749
+ - 3618
750
+ - 1215
751
+ - 31628
752
+ '50268':
753
+ - 414
754
+ '50270':
755
+ - 308
756
+ - 1215
757
+ - 31628
758
+ '50271':
759
+ - 37820
760
+ '50269':
761
+ - 1667
762
+ - 1215
763
+ - 1116
764
+ - 1215
765
+ - 41690
766
+ '50272':
767
+ - 9031
768
+ - 38600
769
+ - 1215
770
+ - 41690
771
+ '50266':
772
+ - 4548
773
+ override_generation_kwargs:
774
+ desc: null
775
+ value: null
776
+ warmup_proportion:
777
+ desc: null
778
+ value: 0.01
779
+ learning_rate:
780
+ desc: null
781
+ value: null
782
+ optimizer_type:
783
+ desc: null
784
+ value: null
785
+ metric_stages:
786
+ desc: null
787
+ value:
788
+ - val
789
+ - test
790
+ - train
791
+ metric_call_predict:
792
+ desc: null
793
+ value:
794
+ - val
795
+ - test
796
+ taskmodule_config:
797
+ desc: null
798
+ value:
799
+ taskmodule_type: PointerNetworkTaskModuleForEnd2EndRE
800
+ tokenizer_name_or_path: facebook/bart-base
801
+ document_type: pytorch_ie.documents.TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions
802
+ tokenized_document_type: pie_modules.documents.TokenDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions
803
+ span_layer_name: labeled_spans
804
+ relation_layer_name: binary_relations
805
+ none_label: none
806
+ loop_dummy_relation_name: loop
807
+ constrained_generation: true
808
+ label_tokens: null
809
+ label_representations: null
810
+ labels_per_layer:
811
+ labeled_spans:
812
+ - background_claim
813
+ - data
814
+ - own_claim
815
+ binary_relations:
816
+ - contradicts
817
+ - parts_of_same
818
+ - semantically_same
819
+ - supports
820
+ exclude_labels_per_layer: null
821
+ create_constraints: true
822
+ tokenizer_init_kwargs:
823
+ add_prefix_space: true
824
+ tokenizer_kwargs:
825
+ truncation: true
826
+ return_overflowing_tokens: true
827
+ stride: 128
828
+ strict_span_conversion: false
829
+ partition_layer_name: labeled_partitions
830
+ annotation_field_mapping: null
831
+ log_first_n_examples: null
832
+ _best_checkpoint:
833
+ desc: null
834
+ value: epoch_145.ckpt
835
+ _checkpoint_dir:
836
+ desc: null
837
+ value: /mnt/data/experiments/pie-document-level/logs/training/multiruns/dataset-sciarg/task-ner_re/v0.3/2024-03-01_18-25-31/0/checkpoints
wandb-metadata.json ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-5.15.0-86-generic-x86_64-with-glibc2.35",
3
+ "python": "3.9.17",
4
+ "heartbeatAt": "2024-03-01T17:25:43.088987",
5
+ "startedAt": "2024-03-01T17:25:42.069556",
6
+ "docker": null,
7
+ "cuda": null,
8
+ "args": [
9
+ "experiment=generic_pointer_network_end2end_re",
10
+ "dataset=sciarg_prepared",
11
+ "+taskmodule.partition_layer_name=labeled_partitions",
12
+ "+taskmodule.tokenizer_kwargs.strict_span_conversion=false",
13
+ "+model.base_model_config.decoder_layer_norm_decay=0.05",
14
+ "trainer=gpu",
15
+ "test=true",
16
+ "name=dataset-sciarg/task-ner_re/v0.3",
17
+ "seed=1,12,123,1234,12345",
18
+ "++hydra.callbacks.save_job_return.integrate_multirun_result=true",
19
+ "--multirun"
20
+ ],
21
+ "state": "running",
22
+ "program": "/home/arne/projects/pie-document-level/src/train.py",
23
+ "codePath": "src/train.py",
24
+ "git": {
25
+ "remote": "[email protected]:ArneBinder/pie-document-level.git",
26
+ "commit": "6deb3a264efba32f48f10addd87ccea04d4f8b5e"
27
+ },
28
+ "email": "[email protected]",
29
+ "root": "/home/arne/projects/pie-document-level",
30
+ "host": "arne-DFKI",
31
+ "username": "arne",
32
+ "executable": "/home/arne/miniconda3/envs/pie-document-level/bin/python",
33
+ "cpu_count": 6,
34
+ "cpu_count_logical": 12,
35
+ "cpu_freq": {
36
+ "current": 2199.99725,
37
+ "min": 2200.0,
38
+ "max": 3600.0
39
+ },
40
+ "cpu_freq_per_core": [
41
+ {
42
+ "current": 2200.0,
43
+ "min": 2200.0,
44
+ "max": 3600.0
45
+ },
46
+ {
47
+ "current": 2200.0,
48
+ "min": 2200.0,
49
+ "max": 3600.0
50
+ },
51
+ {
52
+ "current": 2200.0,
53
+ "min": 2200.0,
54
+ "max": 3600.0
55
+ },
56
+ {
57
+ "current": 2200.0,
58
+ "min": 2200.0,
59
+ "max": 3600.0
60
+ },
61
+ {
62
+ "current": 2200.0,
63
+ "min": 2200.0,
64
+ "max": 3600.0
65
+ },
66
+ {
67
+ "current": 2200.0,
68
+ "min": 2200.0,
69
+ "max": 3600.0
70
+ },
71
+ {
72
+ "current": 2200.0,
73
+ "min": 2200.0,
74
+ "max": 3600.0
75
+ },
76
+ {
77
+ "current": 2200.0,
78
+ "min": 2200.0,
79
+ "max": 3600.0
80
+ },
81
+ {
82
+ "current": 2200.0,
83
+ "min": 2200.0,
84
+ "max": 3600.0
85
+ },
86
+ {
87
+ "current": 2200.0,
88
+ "min": 2200.0,
89
+ "max": 3600.0
90
+ },
91
+ {
92
+ "current": 2200.0,
93
+ "min": 2200.0,
94
+ "max": 3600.0
95
+ },
96
+ {
97
+ "current": 2199.967,
98
+ "min": 2200.0,
99
+ "max": 3600.0
100
+ }
101
+ ],
102
+ "disk": {
103
+ "total": 878.620922088623,
104
+ "used": 658.1419486999512
105
+ },
106
+ "gpu": "NVIDIA GeForce RTX 2080 Ti",
107
+ "gpu_count": 1,
108
+ "gpu_devices": [
109
+ {
110
+ "name": "NVIDIA GeForce RTX 2080 Ti",
111
+ "memory_total": 11811160064
112
+ }
113
+ ],
114
+ "memory": {
115
+ "total": 31.265464782714844
116
+ }
117
+ }
wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"loss/train_step": 0.01761285401880741, "epoch": 150, "trainer/global_step": 39450, "_timestamp": 1709331727.5671468, "_runtime": 17785.49159884453, "_step": 1090, "loss/val": 2.5551652908325195, "metric/exact_encoding_matches/val": 0.3253012001514435, "metric/decoding_errors/all/val": 0.0, "metric/labeled_spans/micro/f1/val": 0.4795539081096649, "metric/labeled_spans/micro/recall/val": 0.4955185651779175, "metric/labeled_spans/micro/precision/val": 0.4645858407020569, "metric/labeled_spans/background_claim/f1/val": 0.5347467660903931, "metric/labeled_spans/background_claim/recall/val": 0.5159090757369995, "metric/labeled_spans/background_claim/precision/val": 0.5550122261047363, "metric/labeled_spans/data/f1/val": 0.5673912763595581, "metric/labeled_spans/data/recall/val": 0.5661605000495911, "metric/labeled_spans/data/precision/val": 0.5686274766921997, "metric/labeled_spans/own_claim/f1/val": 0.3920493423938751, "metric/labeled_spans/own_claim/recall/val": 0.4326777756214142, "metric/labeled_spans/own_claim/precision/val": 0.3583959937095642, "metric/labeled_spans/macro/f1/val": 0.49806246161460876, "metric/labeled_spans/macro/recall/val": 0.5049158334732056, "metric/labeled_spans/macro/precision/val": 0.49401187896728516, "metric/binary_relations/micro/f1/val": 0.2759901285171509, "metric/binary_relations/micro/recall/val": 0.2657926082611084, "metric/binary_relations/micro/precision/val": 0.28700128197669983, "metric/binary_relations/parts_of_same/f1/val": 0.2459016591310501, "metric/binary_relations/parts_of_same/recall/val": 0.23999999463558197, "metric/binary_relations/parts_of_same/precision/val": 0.2521008551120758, "metric/binary_relations/supports/f1/val": 0.2857142686843872, "metric/binary_relations/supports/recall/val": 0.27953410148620605, "metric/binary_relations/supports/precision/val": 0.29217392206192017, "metric/binary_relations/contradicts/f1/val": 0.26455026865005493, "metric/binary_relations/contradicts/recall/val": 0.23364485800266266, "metric/binary_relations/contradicts/precision/val": 0.3048780560493469, "metric/binary_relations/macro/f1/val": 0.19904154539108276, "metric/binary_relations/macro/recall/val": 0.18829473853111267, "metric/binary_relations/macro/precision/val": 0.21228821575641632, "metric/binary_relations/semantically_same/f1/val": 0.0, "metric/binary_relations/semantically_same/recall/val": 0.0, "metric/binary_relations/semantically_same/precision/val": 0.0, "loss/train_epoch": 0.06590206921100616, "metric/exact_encoding_matches/train": 0.9276190400123596, "metric/decoding_errors/label/train": 0.0002683123166207224, "metric/decoding_errors/index/train": 0.0, "metric/decoding_errors/len/train": 0.0001341561583103612, "metric/decoding_errors/order/train": 0.003353904001414776, "metric/decoding_errors/correct/train": 0.9962436556816101, "metric/decoding_errors/all/train": 0.0037563724908977747, "metric/labeled_spans/background_claim/f1/train": 0.9950291514396667, "metric/labeled_spans/background_claim/recall/train": 0.9943844676017761, "metric/labeled_spans/background_claim/precision/train": 0.995674729347229, "metric/labeled_spans/data/f1/train": 0.9951720833778381, "metric/labeled_spans/data/recall/train": 0.994088351726532, "metric/labeled_spans/data/precision/train": 0.9962581992149353, "metric/labeled_spans/own_claim/f1/train": 0.997970700263977, "metric/labeled_spans/own_claim/recall/train": 0.9975208640098572, "metric/labeled_spans/own_claim/precision/train": 0.9984209537506104, "metric/labeled_spans/micro/f1/train": 0.9963851571083069, "metric/labeled_spans/micro/recall/train": 0.995685338973999, "metric/labeled_spans/micro/precision/train": 0.9970859885215759, "metric/labeled_spans/macro/f1/train": 0.9960572719573975, "metric/labeled_spans/macro/recall/train": 0.9953312277793884, "metric/labeled_spans/macro/precision/train": 0.9967846274375916, "metric/binary_relations/supports/f1/train": 0.9916067123413086, "metric/binary_relations/supports/recall/train": 0.9889978766441345, "metric/binary_relations/supports/precision/train": 0.9942293763160706, "metric/binary_relations/micro/f1/train": 0.9924262166023254, "metric/binary_relations/micro/recall/train": 0.9898684620857239, "metric/binary_relations/micro/precision/train": 0.9949973225593567, "metric/binary_relations/parts_of_same/f1/train": 0.9962507486343384, "metric/binary_relations/parts_of_same/recall/train": 0.9935897588729858, "metric/binary_relations/parts_of_same/precision/train": 0.9989258646965027, "metric/binary_relations/contradicts/f1/train": 0.9927158951759338, "metric/binary_relations/contradicts/recall/train": 0.9916840195655823, "metric/binary_relations/contradicts/precision/train": 0.9937499761581421, "metric/binary_relations/semantically_same/f1/train": 0.9818181991577148, "metric/binary_relations/semantically_same/recall/train": 0.9642857313156128, "metric/binary_relations/semantically_same/precision/train": 1.0, "metric/binary_relations/macro/f1/train": 0.9905978441238403, "metric/binary_relations/macro/recall/train": 0.9846393465995789, "metric/binary_relations/macro/precision/train": 0.9967262744903564, "metric/decoding_errors/correct/val": 1.0, "metric/decoding_errors/index/val": 0.0, "metric/decoding_errors/len/val": 0.0, "loss/test": 2.615832805633545, "metric/exact_encoding_matches/test": 0.3636363744735718, "metric/decoding_errors/correct/test": 1.0, "metric/decoding_errors/all/test": 0.0, "metric/labeled_spans/micro/f1/test": 0.4372429847717285, "metric/labeled_spans/micro/recall/test": 0.4461228549480438, "metric/labeled_spans/micro/precision/test": 0.4287096858024597, "metric/labeled_spans/own_claim/f1/test": 0.3857002258300781, "metric/labeled_spans/own_claim/recall/test": 0.4384787380695343, "metric/labeled_spans/own_claim/precision/test": 0.3442623019218445, "metric/labeled_spans/background_claim/f1/test": 0.4095562994480133, "metric/labeled_spans/background_claim/recall/test": 0.34433284401893616, "metric/labeled_spans/background_claim/precision/test": 0.5052631497383118, "metric/labeled_spans/data/f1/test": 0.5392895340919495, "metric/labeled_spans/data/recall/test": 0.5324123501777649, "metric/labeled_spans/data/precision/test": 0.5463467836380005, "metric/labeled_spans/macro/f1/test": 0.4448487162590027, "metric/labeled_spans/macro/recall/test": 0.4384079873561859, "metric/labeled_spans/macro/precision/test": 0.46529075503349304, "metric/binary_relations/micro/f1/test": 0.21993334591388702, "metric/binary_relations/micro/recall/test": 0.20381808280944824, "metric/binary_relations/micro/precision/test": 0.2388157844543457, "metric/binary_relations/parts_of_same/f1/test": 0.19502867758274078, "metric/binary_relations/parts_of_same/recall/test": 0.1764705926179886, "metric/binary_relations/parts_of_same/precision/test": 0.21794871985912323, "metric/binary_relations/supports/f1/test": 0.22637012600898743, "metric/binary_relations/supports/recall/test": 0.21079881489276886, "metric/binary_relations/supports/precision/test": 0.24442538619041443, "metric/binary_relations/contradicts/f1/test": 0.2039215862751007, "metric/binary_relations/contradicts/recall/test": 0.18978102505207062, "metric/binary_relations/contradicts/precision/test": 0.22033898532390594, "metric/binary_relations/semantically_same/f1/test": 0.4000000059604645, "metric/binary_relations/semantically_same/recall/test": 0.3333333432674408, "metric/binary_relations/semantically_same/precision/test": 0.5, "metric/binary_relations/macro/f1/test": 0.25633010268211365, "metric/binary_relations/macro/recall/test": 0.2275959551334381, "metric/binary_relations/macro/precision/test": 0.2956782579421997, "_wandb": {"runtime": 17784}}