Remove model caching mechanism for bert and hbert #42
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
* Fix package imports * Update README.md * Fix bug due to TAR/AR attribute check * Add BERT models * Add BERT tokenizer * Return logits from the model.py * Remove unused classes in models/bert * Return logits from the model.py (#12) * Remove unused classes in models/bert (#13) * Add initial main file * Add args for BERT * Add partial support for BERT * Initialize training and optimization * Draft the structure of Trainers for BERT * Remove duplicate tokenizer * Add utils * Move optimization to utils * Add more structure for trainer * Refactor the trainer (#15) * Refactor the trainer * Add more edits * Add support for our datasets * Add evaluator * Split data4bert module into multiple processors * Refactor BERT tokenizer * Integrate BERT into Castor framework (#17) * Remove unused classes in models/bert * Split data4bert module into multiple processors * Refactor BERT tokenizer * Add multilabel support in BertTrainer * Add multilabel support in BertEvaluator * Add get_test_samples method in dataset processors * Fix args.py for BERT * Add support for Reuters, IMDB datasets for BERT * Revert "Integrate BERT into Castor framework (#17)" This reverts commit e4244ec. * Fix paths to datasets in dataset classes and args * Add SST dataset * Add hedwig-data instructions to README.md * Fix KimCNN README * Fix RegLSTM README * Fix typos in README * Remove trec_eval from README * Add tensorboardX to requirements.txt * Rename processors module to bert_processors * Add method to print metrics after training * Add model check-pointing and early stopping for BERT * Add logos * Update README.md * Fix code comments in classification trainer * Add support for AAPD, Sogou, AGNews and Yelp2014 * Fix bug that deleted saved models * Update README for HAN * Update README for XML-CNN * Remove redundant TODOs from the READMEs * Fix logo in README.md * Update README for Char-CNN * Fix all the READMEs * Resolve conflict * Fix Typos * Re-Add SST2 Processor * Add support for evaluating trained model * Update args.py * Resolve issues due to DataParallel wrapper on saved model * Remove redundant Yelp processor * Fix bug for safely creating the saving directory * Change checkpoint paths to timestamps * Remove unwanted string.strip() from tokenizer * Create save path if it doesn't exist * Decouple model checkpoints from code * Remove model choice restrictions for BERT * Remove model/distill driver * Simplify checkpoint directory creation
# Conflicts: # datasets/reuters.py # models/mlp/args.py # models/mlp/model.py
daemon
approved these changes
Nov 1, 2019
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes issue #9.