Comments (1)
Results where added in the results markdown file.
Data need to be in TSV format, and this script works to test it
git clone https://github.com/eisenjulian/bert.git
python bert/run_classifier_with_tfhub.py --task_name=MLDOC \
--data_dir=data/mldoc/$MLDOC_LANG \
--bert_hub_module_handle=https://tfhub.dev/google/bert_multi_cased_L-12_H-768_A-12/1 \
--output_dir=gs://$GCP_BUCKET/$MODEL_DIR/ \
--use_tpu=True \
--tpu_name=grpc://$COLAB_TPU_ADDR \
--max_seq_length=128 \
--train_batch_size=32 \
--learning_rate=5e-5 \
--num_train_epochs=10.0 \
--do_train=True \
--do_eval=True
from multifit.
Related Issues (20)
- Different size of CLS unsupervised data between .csv and original .xml files HOT 1
- Multifit inference problem HOT 2
- Training custom classifier HOT 1
- Specifying a validation set HOT 1
- Problems with reproducing zero-shot learning results HOT 2
- Where can I find the dataset de.train.csv? HOT 3
- Kernel restarted HOT 1
- Saliency maps
- Tokenizer HOT 1
- Get activations of a specific layer of the multifit model
- Missing File in CLS-DE.ipynb HOT 1
- Always labels are tokenizing instead of text column, Kindly fix the issue facing HOT 1
- Download music/books data in german version
- OOM during finetuning
- File exists but it doesn't found it!!!!! HOT 1
- fp16
- Label_for_lm() takes too much time!
- multifit does'nt work on Google Colab HOT 4
- Port to Fastai 2 HOT 1
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from multifit.