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Group: iitp-mr-clean
Name
3 visualized
RoBERTa-hindi-guj-san_main_3_3.6697978720801375e-05_cosine
RoBERTa-hindi-guj-san_main_3_3.6697978720801375e-05_cosine
indic-transformers-hi-bert_main_3_3.6697978720801375e-05_cosine
indic-transformers-hi-bert_main_3_3.6697978720801375e-05_cosine
indic-bert_main_3_3.6697978720801375e-05_cosine
indic-bert_main_3_3.6697978720801375e-05_cosine
HindiBERTa_main_3_3.6697978720801375e-05_cosine
HindiBERTa_main_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_oscar+kaggle_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_oscar+kaggle_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_newspaper-oscar-noisy_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_newspaper-oscar-noisy_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_mc4-epoch8_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_mc4-epoch8_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_main_3_3.6697978720801375e-05_cosine
roberta-pretraining-hindi_main_3_3.6697978720801375e-05_cosine
1-8
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eval
2
eval/accuracy
eval/accuracy
1
2
3
4
5
Step
0.5
0.55
0.6
0.65
eval/loss
eval/loss
1
2
3
4
5
Step
0.8
0.85
0.9
0.95
1
train
9
1-6 of 9
System
15
1-6 of 15
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