Morgiizz's workspace
Runs
6
Name
2 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
MLP_param_RNN_GRU
MLP_param_transformer
batch_size
betas
clip
device
dim_embedding
dim_hidden
dropout
epochs
exp_metric
log_every
loss
lr
max_sequence_length
min_token_freq
model_type
n_heads
n_layers
n_tokens_src
n_tokens_tgt
optimizer
positional_embeddings_exp
search
seed
src_pad_idx
src_tokenizer
src_vocab
tgt_pad_idx
tgt_tokenizer
tgt_vocab
torch_fct_transformer
torch_fct_translation
train_blue_idx
train_loader
val_blue_idx
val_loader
Blue Score (1-grams)
Blue Score (2-grams)
Blue Score (3-grams)
Train - loss
Train - top-1
Train - top-10
Train - top-5
Finished
-
morgiizz
37m 57s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
10
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
greedy_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f91f9ad89e0>, spacy=<spacy.lang.en.English object at 0x7f916b614ad0>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f91f9ad89e0>, spacy=<spacy.lang.fr.French object at 0x7f916a708d50>)
Vocab()
false
false
["112682","128545","143851","154725","32528","46023","60768","68058","79174","91547"]
<torch.utils.data.dataloader.DataLoader object at 0x7f91507f9b50>
["10768","12808","13329","15334","2295","241","2523","5175","6564","6922"]
<torch.utils.data.dataloader.DataLoader object at 0x7f91507f9bd0>
0.3358
0.20034
0.10165
0.95765
0.73205
0.96257
0.93016
Finished
-
morgiizz
58m 19s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
10
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
beam_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f91f9ad89e0>, spacy=<spacy.lang.en.English object at 0x7f916b614ad0>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f91f9ad89e0>, spacy=<spacy.lang.fr.French object at 0x7f916a708d50>)
Vocab()
false
false
["127161","132331","133431","161372","163890","22446","49945","77109","84094","91883"]
<torch.utils.data.dataloader.DataLoader object at 0x7f916430c910>
["10387","10680","11984","12752","13634","17918","18452","18493","327","5736"]
<torch.utils.data.dataloader.DataLoader object at 0x7f916430ca50>
0.59532
0.49595
0.37884
0.96823
0.73207
0.95726
0.92984
Finished
-
morgiizz
28m 36s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
5
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
beam_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.en.English object at 0x7f97a3c59f90>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.fr.French object at 0x7f97a2cb9910>)
Vocab()
false
false
["107352","113537","124528","141673","142478","172150","30224","43823","54313","57547"]
<torch.utils.data.dataloader.DataLoader object at 0x7f97918ed9d0>
["1020","10914","12963","14051","18565","2930","419","5093","7353","9044"]
<torch.utils.data.dataloader.DataLoader object at 0x7f97918edcd0>
0.56618
0.42026
0.28508
1.32405
0.6918
0.92509
0.87975
Finished
-
morgiizz
18m 43s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
5
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
greedy_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.en.English object at 0x7f97a3c59f90>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.fr.French object at 0x7f97a2cb9910>)
Vocab()
false
false
["106051","132295","143567","15352","169","17438","44675","75223","8871","93283"]
<torch.utils.data.dataloader.DataLoader object at 0x7f97917be3d0>
["12265","13495","14212","16084","17229","17358","3207","6053","8082","9778"]
<torch.utils.data.dataloader.DataLoader object at 0x7f97917be750>
0.60301
0.48828
0.36723
1.32665
0.6799
0.92282
0.8738
Finished
-
morgiizz
28m 39s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
5
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
beam_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.en.English object at 0x7f97a3c59f90>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.fr.French object at 0x7f97a2cb9910>)
Vocab()
false
false
["107352","113537","124528","141673","142478","172150","30224","43823","54313","57547"]
<torch.utils.data.dataloader.DataLoader object at 0x7f9791b35690>
["1020","10914","12963","14051","18565","2930","419","5093","7353","9044"]
<torch.utils.data.dataloader.DataLoader object at 0x7f9791b35c50>
0.56618
0.42026
0.28508
1.32405
0.6918
0.92509
0.87975
Finished
-
morgiizz
18m 45s
-
[1,"LeakyReLU01"]
[2,6,"ELU"]
128
0.945
5
cuda
300
256
0.1
5
blue_score
50
CrossEntropyLoss()
0.001
60
2
RNN
4
3
11196
16970
Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.99)
eps: 1e-08
lr: 0.001
weight_decay: 0
)
false
greedy_search
0
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.en.English object at 0x7f97a3c59f90>)
Vocab()
1
functools.partial(<function _spacy_tokenize at 0x7f983210add0>, spacy=<spacy.lang.fr.French object at 0x7f97a2cb9910>)
Vocab()
false
false
["106051","132295","143567","15352","169","17438","44675","75223","8871","93283"]
<torch.utils.data.dataloader.DataLoader object at 0x7f979200e150>
["12265","13495","14212","16084","17229","17358","3207","6053","8082","9778"]
<torch.utils.data.dataloader.DataLoader object at 0x7f979200e110>
0.60301
0.48828
0.36723
1.32665
0.6799
0.92282
0.8738
1-6
of 6