Comments (8)
Hi @hazalturkmen ,
in this archive you can find the last 5 checkpoints from the uncased model (I think I've chosen the 2M checkpoint for the final model):
wget wget https://schweter.eu/cloud/bert-base-turkish-uncased/bert-base-turkish-uncased.tar.gz
Hope this helps :)
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Hey @hazalturkmen ,
sure, here you can the TensorBoard for the complete training:
8.2, 21:40 to 15.2, 08:25. So the training took ~6 days and 13,5 hours for 2M steps on a v3-8 TPU 🤗
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thanks for sharing model Stefan!
this is what i was looking for :)
how long did it take to train model from scratch? do you remember? its okay if you don't :)
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Hi @stefan-it ,
Finally, can I learn the tensorboard configuration for google cloud tpu? i have this error and i am using firefox browser
Couldn't connect to a server on port 8080
Thank you so much :)
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Related Issues (20)
- Electra Model HOT 2
- fill-mask HOT 2
- Vocabs Genration HOT 8
- Any plan for Turkish T5? HOT 2
- Why `handle_chinese_chars=False`? HOT 2
- How to get all hidden layers' output of pre-trained BERTurk model in HuggingFace Transformers library? HOT 2
- ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: <tf.Tensor 'args_0:0' shape=() dtype=float32> HOT 3
- ValueError: Must specify max_steps > 0, given: 0 HOT 6
- TensorFlow Checkpoints for Fine-Tuning HOT 1
- AssertionError: ('Pointer shape torch.Size([256]) and array shape (64,) mismatched', torch.Size([256]), (64,)) HOT 6
- Q: Using as a classifier
- DistilBERTurk training for question answering failed HOT 8
- PoS tagging HOT 3
- CHEATSHEET for ConvBERT? HOT 6
- BERTurk Training Dataset Preparation HOT 6
- Training Data HOT 3
- Example for inference
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- Evaluation Methodology
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