Documentation: Added CHANGELOG.md

CHANGELOG.md

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+# Changelog
+
+## v0.5.5
+
+### v0.5.5 Features
+
+* e2e: replace old small job with new medium job
+
+### v0.5.5 Fixes
+
+* fix: incorrect label for AWS medium runner
+* chore: add exit code & tox fix
+
+### v0.5.5 Infrastructure
+
+* ci: grant HF_TOKEN access to the medium-size E2E CI job
+
+## v0.5.4
+
+### v0.5.4 Features
+
+* Add rocm extra to pyproject.toml
+
+## v0.5.3
+
+### v0.5.3 Fixes
+
+* fix: Add explicit flash_attn requirement for ROCm
+
+## v0.5.2 - Fix Pretraining Masking
+
+### v0.5.2 Fixes
+
+* fix: improve linting and automation
+* Fix pretrain token list->int for masking
+
+## v0.5.1
+
+### v0.5.1 Fixes
+
+* fix: updates sorting logic to correctly compare numbers
+
+## v0.5.0 - FSDP and Full-State Checkpoint Resuming
+
+### v0.5.0 Features
+
+* feat: add e2e test for instructlab CI
+* feat: add mergify
+* Adding FSDP Support to Training Library by @aldopareja @Maxusmusti @RobotSail
+* adds Accelerate full-state (opt, lr_sched, params)
+* changes StreamablePopen to return a process and implement listening
+
+### v0.5.0 Fixes
+
+* Fix lint error to make CI happy
+* Fix typos
+* Ap/fix multipack for non granite models
+* Fix generic chat template saved to tokenizer for generation
+* Fix linting error and missing quote
+
+### v0.5.0 Infrastructure
+
+* Add license identifiers
+* ci: update runner labels to uniquely identify instance sizes
+* ci: minor cleanup of E2E job
+* Fixing e2e to use relative path for working-directory
+* switch -T to -a
+* github: add stale bot to training repo
+* fix: markdown lint error and mergify bug
+* Bump actions/checkout from 4.1.7 to 4.2.0
+* Bump step-security/harden-runner from 2.8.1 to 2.9.1
+* Bump pypa/gh-action-pypi-publish from 1.9.0 to 1.10.2
+* Bump actions/setup-python from 5.1.0 to 5.2.0
+* Bump rhysd/actionlint from 1.7.1 to 1.7.2
+* Bump hynek/build-and-inspect-python-package from 2.6.0 to 2.9.0
+* Bump DavidAnson/markdownlint-cli2-action from 16.0.0 to 17.0.0
+* ci: fix lint action
+* ci: add AWS tags to show github ref and PR num for all jobs
+
+## v0.5.0 Alpha 0 - The FSDP Release Pre-release
+
+### v0.5.0 Alpha Description
+
+The FSDP Release introduces FSDP support in addition to the existing DeepSpeed support through the accelerate library.
+
+### v0.5.0 Alpha Features
+
+* feat: add e2e test for instructlab CI
+* feat: add mergify
+* Adding FSDP Support to Training Library by @aldopareja @Maxusmusti @RobotSail
+
+### v0.5.0 Alpha Fixes
+
+* Fix lint error to make CI happy
+* Fix typos
+* Ap/fix multipack for non granite models
+* Fix linting error and missing quote
+
+### v0.5.0 Alpha Infrastructure
+
+* Add license identifiers
+* ci: update runner labels to uniquely identify instance sizes
+* ci: minor cleanup of E2E job
+* Fixing e2e to use relative path for working-directory
+* Bump step-security/harden-runner from 2.8.1 to 2.9.1
+* Bump pypa/gh-action-pypi-publish from 1.9.0 to 1.10.2
+* Bump actions/setup-python from 5.1.0 to 5.2.0
+* Bump rhysd/actionlint from 1.7.1 to 1.7.2
+* Bump hynek/build-and-inspect-python-package from 2.6.0 to 2.9.0
+* Bump DavidAnson/markdownlint-cli2-action from 16.0.0 to 17.0.0
+* ci: fix lint action
+* ci: add AWS tags to show github ref and PR num for all jobs
+
+## v0.4.2
+
+### v0.4.2 Features
+
+* Provide safeguards during training
+
+## v0.4.1
+
+### v0.4.1 Changes
+
+* makes saving every save_samples an optional feature
+
+## v0.4.0
+
+### v0.4.0 Features
+
+* Adds a flag to save checkpoints at the end of an epoch
+
+### v0.4.0 Changes
+
+* Change success message at end of training
+
+## v0.3.2
+
+### v0.3.2 Features
+
+* Accept tuples for lora.target_modules
+
+### v0.3.2 Documentation
+
+* patch some hyper parameter arg descriptions in README
+
+## v0.3.1
+
+### v0.3.1 Dependencies
+
+* Update requirements to have bitsandbytes min and dolomite min
+
+## v0.3.0
+
+### v0.3.0 Features
+
+* Updating token masking to support pretraining w/ masked special tokens
+* Adding weight merging for LoRA/QLoRA ckpts
+
+### v0.3.0 Fixes
+
+* remove dead code
+* fix: changes the check to check against both the enum option and enum value
+
+## v0.2.0
+
+### v0.2.0 Features
+
+* Fix ckpt save to include architecture for inference runtime consumption
+* Logging updates
+
+### v0.2.0 Performance
+
+* Reducing deepspeed timeout to 10mins
+
+## v0.1.0
+
+### v0.1.0 Features
+
+* Flash Attention Disable Toggle (Take 2)
+
+### v0.1.0 Performance
+
+* Reduce Unnecessary Multiprocessing
+
+### v0.1.0 Fixes
+
+* 🐛: fix optimizer selection logic so that FusedAdam is never loaded when CPU offloading is enabled
+* Add wheel to requirements
+
+## v0.0.5.1
+
+### v0.0.5.1 Fixes
+
+This release includes PR [#121](https://github.com/instructlab/training/pull/121) to overcome an issue where our way of lazily importing the run_training function is being picked up as an error by pylint.
+
+## v0.0.5
+
+Minor bugfixes and updates.
+
+## v0.0.4
+
+Minor bugfixes and updates.
+
+## v0.0.3
+
+Minor bugfixes and updates.
+
+## v0.0.2
+
+### Features
+
+This introduces the instructlab library as a package in the instructlab package namespace.
+
+To install it:
+
+```bash
+pip install instructlab-training
+```
+
+And to install it with flash-attn and other CUDA-dependent packages, you can use
+
+```bash
+pip install instructlab-training[cuda]
+```
+
+Here's how to use it:
+
+```python
+from instructlab.training.config import TorchrunArgs, TrainingArgs, run_training
+
+torchrun_args = TorchrunArgs(
+    nproc_per_node = 1,  # 1 GPU
+    nnodes = 1,  # only 1 overall machine in the system
+    node_rank = 0,  # rank of the current machine
+    rdzv_id = 123,  # what ID other nodes will join on
+    rdzv_endpoint = '0.0.0.0:12345'  # address where other nodes will join
+)
+
+training_args = TrainingArgs(
+    # specify training args here
+)
+
+run_training(torch_args = torchrun_args, train_args = training_args)
+```
+
+## v0.0.1
+
+### v0.0.1 Features
+
+Initial release with same features as v0.0.2.