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Documentation: Added 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.

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