Fixed linting errors

CHANGELOG.md

@@ -2,54 +2,64 @@
 
 ## v0.5.5
 
-### Features
+### v0.5.5 Features
+
 * e2e: replace old small job with new medium job
 
-### Fixes
+### v0.5.5 Fixes
+
 * fix: incorrect label for AWS medium runner
 * chore: add exit code & tox fix
 
-### Infrastructure
+### v0.5.5 Infrastructure
+
 * ci: grant HF_TOKEN access to the medium-size E2E CI job
 
 ## v0.5.4
 
-### Features
+### v0.5.4 Features
+
 * Add rocm extra to pyproject.toml
 
 ## v0.5.3
 
-### Fixes
+### v0.5.3 Fixes
+
 * fix: Add explicit flash_attn requirement for ROCm
 
 ## v0.5.2 - Fix Pretraining Masking
 
-### Fixes
+### v0.5.2 Fixes
+
 * fix: improve linting and automation
 * Fix pretrain token list->int for masking
 
 ## v0.5.1
 
-### Fixes
+### v0.5.1 Fixes
+
 * fix: updates sorting logic to correctly compare numbers
 
 ## v0.5.0 - FSDP and Full-State Checkpoint Resuming
 
-### Features
+### 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
 
-### Fixes
+### 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
 
-### Infrastructure
+### v0.5.0 Infrastructure
+
 * Add license identifiers
 * ci: update runner labels to uniquely identify instance sizes
 * ci: minor cleanup of E2E job
@@ -69,21 +79,25 @@
 
 ## v0.5.0 Alpha 0 - The FSDP Release Pre-release
 
-### Description
+### v0.5.0 Alpha Description
+
 The FSDP Release introduces FSDP support in addition to the existing DeepSpeed support through the accelerate library.
 
-### Features
+### 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
 
-### Fixes
+### 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
 
-### Infrastructure
+### v0.5.0 Alpha Infrastructure
+
 * Add license identifiers
 * ci: update runner labels to uniquely identify instance sizes
 * ci: minor cleanup of E2E job
@@ -99,96 +113,118 @@ The FSDP Release introduces FSDP support in addition to the existing DeepSpeed s
 
 ## v0.4.2
 
-### Features
+### v0.4.2 Features
+
 * Provide safeguards during training
 
 ## v0.4.1
 
-### Changes
+### v0.4.1 Changes
+
 * makes saving every save_samples an optional feature
 
 ## v0.4.0
 
-### Features
+### v0.4.0 Features
+
 * Adds a flag to save checkpoints at the end of an epoch
 
-### Changes
+### v0.4.0 Changes
+
 * Change success message at end of training
 
 ## v0.3.2
 
-### Features
+### v0.3.2 Features
+
 * Accept tuples for lora.target_modules
 
-### Documentation
+### v0.3.2 Documentation
+
 * patch some hyper parameter arg descriptions in README
 
 ## v0.3.1
 
-### Dependencies
+### v0.3.1 Dependencies
+
 * Update requirements to have bitsandbytes min and dolomite min
 
 ## v0.3.0
 
-### Features
+### v0.3.0 Features
+
 * Updating token masking to support pretraining w/ masked special tokens
 * Adding weight merging for LoRA/QLoRA ckpts
 
-### Fixes
+### v0.3.0 Fixes
+
 * remove dead code
 * fix: changes the check to check against both the enum option and enum value
 
 ## v0.2.0
 
-### Features
+### v0.2.0 Features
+
 * Fix ckpt save to include architecture for inference runtime consumption
 * Logging updates
 
-### Performance
+### v0.2.0 Performance
+
 * Reducing deepspeed timeout to 10mins
 
 ## v0.1.0
 
-### Features
+### v0.1.0 Features
+
 * Flash Attention Disable Toggle (Take 2)
 
-### Performance
+### v0.1.0 Performance
+
 * Reduce Unnecessary Multiprocessing
 
-### Fixes
+### 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
 
-### Fixes
+### 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
 
@@ -209,5 +245,6 @@ run_training(torch_args = torchrun_args, train_args = training_args)
 
 ## v0.0.1
 
-### Features
+### v0.0.1 Features
+
 Initial release with same features as v0.0.2.