Sksdotsauravs's workspace
Runs
30
Name
2 visualized
data_fold: 5
data_fold: 5
6
6
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
1
transformer_model_name: deepset/gelectra-large
transformer_model_name: deepset/gelectra-large
1
transformer_model_name: xlm-roberta-large
transformer_model_name: xlm-roberta-large
1
transformer_model_name: google-bert/bert-base-german-cased
transformer_model_name: google-bert/bert-base-german-cased
1
data_fold: 4
data_fold: 4
6
6
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
1
transformer_model_name: deepset/gelectra-large
transformer_model_name: deepset/gelectra-large
1
transformer_model_name: xlm-roberta-large
transformer_model_name: xlm-roberta-large
1
transformer_model_name: google-bert/bert-base-german-cased
transformer_model_name: google-bert/bert-base-german-cased
1
data_fold: 3
data_fold: 3
6
6
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
1
transformer_model_name: deepset/gelectra-large
transformer_model_name: deepset/gelectra-large
1
transformer_model_name: xlm-roberta-large
transformer_model_name: xlm-roberta-large
1
transformer_model_name: google-bert/bert-base-german-cased
transformer_model_name: google-bert/bert-base-german-cased
1
data_fold: 2
data_fold: 2
6
6
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
1
transformer_model_name: deepset/gelectra-large
transformer_model_name: deepset/gelectra-large
1
transformer_model_name: xlm-roberta-large
transformer_model_name: xlm-roberta-large
1
transformer_model_name: google-bert/bert-base-german-cased
transformer_model_name: google-bert/bert-base-german-cased
1
data_fold: 1
data_fold: 1
6
6
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-gelectra-large-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
1
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
transformer_model_name: calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
1
transformer_model_name: deepset/gelectra-large
transformer_model_name: deepset/gelectra-large
1
transformer_model_name: xlm-roberta-large
transformer_model_name: xlm-roberta-large
1
transformer_model_name: google-bert/bert-base-german-cased
transformer_model_name: google-bert/bert-base-german-cased
1
State
Notes
User
Tags
Created
Runtime
Sweep
data_fold
fold_stats.total_entities.train
fold_stats.total_entities.dev
fold_stats.total_entities.test
transformer_model_name
pretrained_model_path
Finished
sksdotsauravs
16d 16h 33m 13s
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5
885
257
297
["calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k","calgo-lab/codealltag-ner-gelectra-large-flert-175k","calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k","deepset/gelectra-large","google-bert/bert-base-german-cased","xlm-roberta-large"]
["/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt"]
Finished
sksdotsauravs
17m 14s
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5
885
257
297
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
9m 25s
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5
885
257
297
calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
18m 6s
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5
885
257
297
calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
16m 22s
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5
885
257
297
deepset/gelectra-large
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Finished
sksdotsauravs
17m 14s
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5
885
257
297
xlm-roberta-large
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Finished
sksdotsauravs
8m 47s
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5
885
257
297
google-bert/bert-base-german-cased
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Finished
sksdotsauravs
16d 16h 14m 25s
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4
919
248
272
["calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k","calgo-lab/codealltag-ner-gelectra-large-flert-175k","calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k","deepset/gelectra-large","google-bert/bert-base-german-cased","xlm-roberta-large"]
["/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt"]
Finished
sksdotsauravs
16m 40s
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4
919
248
272
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
16m 40s
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4
919
248
272
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
8m 13s
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4
919
248
272
calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
18m 16s
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4
919
248
272
calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
16m 23s
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4
919
248
272
deepset/gelectra-large
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Finished
sksdotsauravs
16m 16s
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4
919
248
272
xlm-roberta-large
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Finished
sksdotsauravs
7m 39s
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4
919
248
272
google-bert/bert-base-german-cased
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Finished
sksdotsauravs
16d 16h 12m 51s
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3
950
226
263
["calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k","calgo-lab/codealltag-ner-gelectra-large-flert-175k","calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k","deepset/gelectra-large","google-bert/bert-base-german-cased","xlm-roberta-large"]
["/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt"]
Finished
sksdotsauravs
16m 17s
-
3
950
226
263
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
9m 43s
-
3
950
226
263
calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
16m 38s
-
3
950
226
263
calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
16m 12s
-
3
950
226
263
deepset/gelectra-large
-
Finished
sksdotsauravs
16m 9s
-
3
950
226
263
xlm-roberta-large
-
Finished
sksdotsauravs
7m 26s
-
3
950
226
263
google-bert/bert-base-german-cased
-
Finished
sksdotsauravs
16d 16h 15m 26s
-
2
877
321
241
["calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k","calgo-lab/codealltag-ner-gelectra-large-flert-175k","calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k","deepset/gelectra-large","google-bert/bert-base-german-cased","xlm-roberta-large"]
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Finished
sksdotsauravs
18m 19s
-
2
877
321
241
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
10m 41s
-
2
877
321
241
calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
18m 48s
-
2
877
321
241
calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
18m 42s
-
2
877
321
241
deepset/gelectra-large
-
Finished
sksdotsauravs
18m 14s
-
2
877
321
241
xlm-roberta-large
-
Finished
sksdotsauravs
10m 11s
-
2
877
321
241
google-bert/bert-base-german-cased
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Finished
sksdotsauravs
16d 16h 9m 2s
-
1
821
282
336
["calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k","calgo-lab/codealltag-ner-gelectra-large-flert-175k","calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k","deepset/gelectra-large","google-bert/bert-base-german-cased","xlm-roberta-large"]
["/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt","/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt"]
Finished
sksdotsauravs
19m 43s
-
1
821
282
336
calgo-lab/codealltag-ner-gelectra-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/deepset--gelectra-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-4/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
12m 43s
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1
821
282
336
calgo-lab/codealltag-ner-bert-base-german-cased-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/google-bert--bert-base-german-cased-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
20m 28s
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1
821
282
336
calgo-lab/codealltag-ner-xlm-roberta-large-flert-175k
/home/ssaha/model-checkpoints/codealltag/ner/xlm-roberta-large-flert/additional-embeddings-none/use-context-64/sample-size-175000/data-fold-5/learning-rate-5e-5/max-epochs-50/mini-batch-size-50/best-model.pt
Finished
sksdotsauravs
19m 46s
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1
821
282
336
deepset/gelectra-large
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Finished
sksdotsauravs
19m 32s
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1
821
282
336
xlm-roberta-large
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Finished
sksdotsauravs
11m 53s
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1
821
282
336
google-bert/bert-base-german-cased
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1-5
of 5