Arampacha's group workspace
Group: snli-distilbert-base-uncased-alum-3e-05
State
Notes
User
Tags
Created
Runtime
Sweep
ALUMCallback.alpha
ALUMCallback.m
ALUMCallback.start_epoch
ALUMCallback.start_iter
GradientAccumulation.n_acc
HF_BaseModelCallback
HF_QstAndAnsModelCallback
Learner._name
Learner.loss_func._name
Learner.loss_func.axis
Learner.loss_func.flatten
Learner.loss_func.floatify
Learner.loss_func.is_2d
Learner.loss_func.loss_funcs
Learner.loss_func.weights
Learner.lr
Learner.metrics
Learner.model_dir
Learner.moms
Learner.opt_func
Learner.path
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
MixedPrecision
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
Finished
arampacha
alum
distilbert-base-uncased
radam
snli
spec-tok
48m 14s
-
0.5
Embeddings(
(word_embeddings): Embedding(30522, 768, padding_idx=0)
(position_embeddings): Embedding(512, 768)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
)
2
-
-
true
-
<fastai.learner.Learner object at 0x7fe97fde8460>
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-
-
0.001
["fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.RAdam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8583
Finished
arampacha
alum
distilbert-base-uncased
radam
snli
spec-tok
t_type1
47m 47s
-
0.1
Embeddings(
(word_embeddings): Embedding(30522, 768, padding_idx=0)
(position_embeddings): Embedding(512, 768)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
)
2
-
-
true
-
<fastai.learner.Learner object at 0x7fe9a019e310>
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-
-
0.001
["fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.RAdam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8583
Finished
arampacha
alum
distilbert-base-uncased
radam
snli
t_type1
1h 18m 53s
-
0.2
Embeddings(
(word_embeddings): Embedding(30522, 768, padding_idx=0)
(position_embeddings): Embedding(512, 768)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
)
2
-
-
true
-
<fastai.learner.Learner object at 0x7fe9a351b5e0>
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-
-
0.001
["fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.RAdam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8583
Finished
arampacha
alum
distilbert-base-uncased
radam
snli
1h 19m 12s
-
0.1
Embeddings(
(word_embeddings): Embedding(30522, 768, padding_idx=0)
(position_embeddings): Embedding(512, 768)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
)
2
-
-
true
-
<fastai.learner.Learner object at 0x7f966297d3a0>
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-
-
0.001
["fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
fastai.optimizer.RAdam
.
blurr.modeling.core.hf_splitter
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
8583
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