Tasmiah-tahsin's workspace
Runs
18
Name
18 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
HF_BaseModelCallback
Learner._name
Learner.loss_func._name
Learner.loss_func._name._name
Learner.loss_func._name._name._name
Learner.loss_func._name._name.axis
Learner.loss_func._name._name.flatten
Learner.loss_func._name._name.floatify
Learner.loss_func._name._name.is_2d
Learner.loss_func._name.axis
Learner.loss_func._name.flatten
Learner.loss_func._name.floatify
Learner.loss_func._name.is_2d
Learner.loss_func.axis
Learner.loss_func.flatten
Learner.loss_func.floatify
Learner.loss_func.is_2d
Learner.lr
Learner.metrics
Learner.model_dir
Learner.moms
Learner.opt_func
Learner.path
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
ParamScheduler
ProgressCallback
Recorder.add_time
Recorder.train_metrics
Recorder.valid_metrics
TrainEvalCallback
WandbCallback.log
WandbCallback.log_dataset
WandbCallback.log_model
WandbCallback.log_preds
WandbCallback.n_preds
WandbCallback.reorder
WandbCallback.seed
batch per epoch
batch size
dataset.tfms
device
dls.after_batch
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
1h 36m 36s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7fcbe9644090>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7fcbe962dfd0>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
3259
4
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
7m 7s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7f722db4d590>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f72258bd710>","thresh":null,"flatten":true,"activation":"no"},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
9995
4
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
2h 15m 11s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7f5269b4c790>
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-1
true
false
true
-1
true
false
true
0.001
[{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f5268d28310>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8745
4
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Crashed
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
54m 5s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7f3573877c90>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"_name":"<fastai.metrics.AccumMetric object at 0x7f3572fcef10>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score"},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8745
4
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
9m 45s
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Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
29m 18s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7f67b75f7550>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f66a7019c10>","thresh":null,"flatten":true},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
4372
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
1m 57s
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Crashed
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
1m 30s
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Finished
Finetuning banfakenews with bangla bert via Blurr
tasmiah-tahsin
banglabert
blurr
fake-news-classification
6m 33s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7fe306184d10>
-
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
-1
true
false
true
0.001
[{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7fe30c176c10>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
1102
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
1h 1m 41s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7fe3083d9c10>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"flatten":true,"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7fe30c176c10>","thresh":null},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
1102
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
7m 52s
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Crashed
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
55m 19s
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Crashed
Finetuning banfakenews with multilingual bert via Blurr
tasmiah-tahsin
blurr
fake-news-classification
mbert
26m 41s
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Crashed
Finetuning banfakenews with xlm-roberta Blurr
tasmiah-tahsin
blurr
fake-news-classification
xlm-roberta
3m 1s
-
true
<blurr.modeling.core.BlearnerForSequenceClassification object at 0x7f625c320610>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
[{"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f625c365510>","thresh":null,"flatten":true},"fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
64
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with xlm-roberta Blurr
tasmiah-tahsin
blurr
fake-news-classification
xlm-roberta
4m 6s
-
true
<blurr.modeling.core.Blearner object at 0x7f625d7f4b90>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
["fastai.metrics.accuracy",{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f625d7f4ad0>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1}]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
64
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with xlm-roberta Blurr
tasmiah-tahsin
blurr
fake-news-classification
xlm-roberta
5m 48s
-
true
<blurr.modeling.core.Blearner object at 0x7f62a2ea0ad0>
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
0.001
["fastai.metrics.accuracy",{"thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f62a2ea0290>"}]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
64
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
Finished
Finetuning banfakenews with xlm-roberta Blurr
tasmiah-tahsin
blurr
fake-news-classification
xlm-roberta
50s
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Finished
Finetuning banfakenews with xlm-roberta Blurr
tasmiah-tahsin
blurr
fake-news-classification
xlm-roberta
10m 8s
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true
<blurr.modeling.core.Blearner object at 0x7f8116db2950>
-
FlattenedLoss of CrossEntropyLoss()
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-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.accuracy",{"thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7f8116db2890>"}]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
25
8
[Pipeline: ColReader -- {'cols': 'text', 'pref': '', 'suff': '', 'label_delim': None}, Pipeline: ColReader -- {'cols': 'label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: HF_AfterBatchTransform
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