Repository: georgian-io/Transformers-Domain-Adaptation (language: python)

Issue:
BPE trainer issue
Hello,

I used the VocabAugmentor with a Roberta model and encountered an issue, which can be solved with : 

https://discuss.huggingface.co/t/issue-with-transformer-notebooks-getting-started-tokenizers/3444 
problem with VocabAugmentor
There seems to be a problem with the VocabAugumentor class. 
When I run:
`new_tokens = augmentor.get_new_tokens(ft_corpus_train)`
I get this error:

TypeError: Can’t convert <tokenizers.trainers.PreTrainedTokenizerFast object at 0x7f8641325570> to Sequence

**Solution:** I resolved this problem by switching orders of arguments on line 91 in vocab_augmentor.py. (this was a suggested fix for the above mentioned error, from a quick google search)
From:
self.rust_tokenizer.train(**self.trainer, train_files**)
to:
self.rust_tokenizer.train(**train_files, self.trainer**)

After this change program runs as expected.


I didn't look into this problem - as the quick fix solution worked - but you may want to have a look if there are no bugs related to that.



Discussion / hints:

I had a similar issue, it fixed my problem :)
My issue was: TypeError: Can't convert <tokenizers.trainers.WordPieceTrainer object at 0x17ceef250> to Sequence


You will need to download class VocabAugmentor(BaseEstimator): from SBERT website and change
From:
self.rust_tokenizer.train(self.trainer, train_files)
to:
self.rust_tokenizer.train(train_files, self.trainer)

Fix patch:
diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 01476b5..e820797 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -16,7 +16,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [3.6, 3.7, 3.8]
+        python-version: [3.7, 3.8]
 
     steps:
     - uses: actions/checkout@v2
@@ -26,9 +26,9 @@ jobs:
         python-version: ${{ matrix.python-version }}
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip
-        python -m pip install -r requirements.txt -r requirements_dev.txt
-        python -m pip install transformers-domain-adaptation
+        pip install poetry
+        poetry install --no-interaction
+
     - name: Run unit tests with pytest
       run: |
-        pytest tests/unit_test --cov src/transformers_domain_adaptation --cov-report term-missing:skip-covered
+        poetry run pytest tests/unit_test --cov src/transformers_domain_adaptation --cov-report term-missing:skip-covered
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..23377ba
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,46 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.3.0
+    hooks:
+      - id: check-added-large-files
+      - id: check-merge-conflict
+      - id: check-json
+      - id: check-toml
+      - id: check-yaml
+      - id: debug-statements
+      - id: detect-private-key
+      - id: end-of-file-fixer
+      - id: trailing-whitespace
+  - repo: local
+    hooks:
+      # Run `pyupgrade` before `pycln` so that it can clean up unused imports
+      - id: pyupgrade
+        name: Upgrade syntax based on Python version
+        language: python
+        entry: pyupgrade
+        args:
+          - "--py38-plus"
+      # Run `pycln` first so that Black doesn't need to autoformat again
+      # if imports are removed
+      - id: pycln
+        name: Remove unused Python imports
+        entry: pycln
+        language: python
+        files: "py$"
+        args: [--config=pyproject.toml]
+      - id: black
+        name: Format Python code
+        entry: black
+        language: python
+        files: "py$"
+      - id: isort
+        name: Sort Python imports
+        entry: isort
+        language: system
+      - id: pytest
+        name: Run test suite
+        stages: [push]
+        language: system
+        entry: make
+        args: [test]
+        pass_filenames: false
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..4e032db
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,4141 @@
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+zipp = [
+    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..f0f64b2
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,51 @@
+[tool.poetry]
+name = "transformers-domain-adaptation"
+version = "0.3.1"
+description = "Adapt Transformer-based language models to new text domains"
+authors = ["Christopher Tee <chris@georgian.io>"]
+license = "MIT"
+
+[tool.poetry.dependencies]
+python = "^3.8,<3.12"
+transformers = "^4.0.0"
+tokenizers = "^0.12.0"
+datasets = "^2.4.0"
+pandas = "^1.4.0"
+tqdm = "^4.49.0"
+torch = "^1.12.0"
+scikit-learn = "^1.1.0"
+scipy = "^1.9.0"
+
+[tool.poetry.dev-dependencies]
+pytest = "^7.1.2"
+pytest-cov = "^3.0.0"
+pytest-xdist = "^2.5.0"
+hypothesis = "^6.54.4"
+mypy = "^0.971"
+black = "^22.6.0"
+isort = "^5.10.1"
+pycln = "^2.1.1"
+pyupgrade = "^2.37.3"
+pre-commit = "^2.20.0"
+pydocstyle = "^6.1.1"
+jupyterlab = "^3.4.5"
+ipywidgets = "^8.0.1"
+matplotlib = "^3.5.3"
+twine = "^4.0.1"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+addopts = "--strict-markers --cov src/transformers_domain_adaptation --cov-report term-missing:skip-covered --no-cov-on-fail --cov-fail-under=75 --doctest-modules"
+
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+
+[tool.mypy]
+ignore_missing_imports = true
+
+[tool.pycln]
+all = true
diff --git a/src/transformers_domain_adaptation/vocab_augmentor.py b/src/transformers_domain_adaptation/vocab_augmentor.py
index ba289f4..25184c2 100644
--- a/src/transformers_domain_adaptation/vocab_augmentor.py
+++ b/src/transformers_domain_adaptation/vocab_augmentor.py
@@ -88,7 +88,7 @@ def get_new_tokens(
         with NamedTemporaryFile("w+") as tmpfile:  # If we need to save Corpus type
             # Train new tokenizer on `ft_corpus`
             train_files = self._get_training_files(training_corpus, _tmpfile=tmpfile)
-            self.rust_tokenizer.train(self.trainer, train_files)
+            self.rust_tokenizer.train(train_files, self.trainer)
 
             # Include unknown token to vocab
             with TemporaryDirectory() as tmpdir:


Test patch:
diff --git a/tests/unit_test/pytest.ini b/tests/unit_test/pytest.ini
deleted file mode 100644
index c843e97..0000000
--- a/tests/unit_test/pytest.ini
+++ /dev/null
@@ -1,2 +0,0 @@
-[pytest]
-addopts = --cov src/transformers_domain_adaptation --cov-report=term-missing:skip-covered --no-cov-on-fail
\ No newline at end of file