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Roberta model called SRoBERTa trained on WOL dataset (OSCAR + Leipzig + srWac) for Serbian language. Attention heads distilled 6, batch size 64, group size 64, epochs 2, test split 0.05(~1mil groups)
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Initial commit of tokenizer
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Roberta model called SRoBERTa trained on WOL dataset (OSCAR + Leipzig + srWac) for Serbian language. Attention heads distilled 6, batch size 64, group size 64, epochs 2, test split 0.05(~1mil groups)
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Initial commit of tokenizer
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training_args.bin
Detected Pickle imports (4)
- "transformers.trainer_utils.SchedulerType",
- "transformers.training_args.TrainingArguments",
- "transformers.trainer_utils.IntervalStrategy",
- "torch.device"
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2.67 kB
Roberta model called SRoBERTa trained on WOL dataset (OSCAR + Leipzig + srWac) for Serbian language. Attention heads distilled 6, batch size 64, group size 64, epochs 2, test split 0.05(~1mil groups)
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1.02 MB
Initial commit of tokenizer
