* Add CausalLMBenchEvalCallback for measuring seq2seq performance
* Fix code for pre-commit
* Fix typing and improve logging
* eval_sample_packing must be false with CausalLMBenchEvalCallback
* add mps support
* linter stuff
* CI fixes
* install packaging for various tests
* Update setup.py
* Revert "install packaging for various tests"
This reverts commit 980e7aa44d.
* Revert "CI fixes"
This reverts commit 4609e3b166.
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Co-authored-by: Wing Lian <wing.lian@gmail.com>
* wip for pretraining/iterable data with arbitrary prompt strategies
* more fixes, wip
* more fixes for custom pretraining
* iterable ds wrapper not needed
* remove extra features
* chore: lint
* update pretraning example yml
* fix order for partials
* fixup for tests
* support for true batches with multipack
* patch the map dataset fetcher to handle batches with packed indexes
* patch 4d mask creation for sdp attention
* better handling for BetterTransformer
* patch general case for 4d mask
* setup forward patch. WIP
* fix patch file
* support for multipack w/o flash attention for llama
* cleanup
* add warning about bf16 vs fp16 for multipack with sdpa
* bugfixes
* add 4d multipack tests, refactor patches
* update tests and add warnings
* fix e2e file check
* skip sdpa test if not at least torch 2.1.1, update docs
* import deepspeed integration
* monkeypatch peft adapater with deepspeed for resume from checkpoint
* fix patch
* fix patches attempt 2
* make sure to set lora_model_dir
* skip pylint for deepspeed.utils
* pick up upstream fix in transformers
* remove monkeypatch for deepspeed/peft fix
* no need to set the lora_model_dir on resume
* unset load_in_*bit when using quant config
* guard before del
* better handling of load_in* kwargs
* Support for additional_special_tokens
* Support for additional_special_tokens. Adjust whitespace.
* Support for additional_special_tokens. Use correct quotes.
* Support for additional_special_tokens. Safe pop.
* Support for additional_special_tokens. nt.
* Support for additional_special_tokens. cfg.special_tokens may be None.
* add token if not in vocabulary when adding additional_special_tokens
* fix logic for copy/pasta
* bugfix for popping from config and tokenizer reload
* no need to add tokens manually now with previous bugfix
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Co-authored-by: Wing Lian <wing.lian@gmail.com>
* Make sure test_dataset are used and treat val_set_size.
* Add test_datasets docs.
* Apply suggestions from code review
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Co-authored-by: Wing Lian <wing.lian@gmail.com>
* loftq support for lora
* fix loftq check
* update readme for loftq
* readability cleanup
* use peft main for loftq fixes, remove unnecessary special tokens
* remove unused test from older deprecation
* wip modal for ci
* handle falcon layernorms better
* update
* rebuild the template each time with the pseudo-ARGS
* fix ref
* update tests to use modal
* cleanup ci script
* make sure to install jinja2 also
* kickoff the gh action on gh hosted runners and specify num gpus
* warning if hub model id set but no save
* add warning
* move the warning
* add test
* allow more public methods for tests for now
* fix tests
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Co-authored-by: Wing Lian <wing.lian@gmail.com>
* add support for precompute_ref_log_probs for dpo
* add chatml.icr type for argilla orca dpo
* update inline doc
* also set use_reentrant to false for dpo when not set
* don't set use_reentrant to true for rl
* make sure to set gradient checkpointing too
* add system message to template
* readme update
* added code to register new system message
* register chatml template for test
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Co-authored-by: Mads Henrichsen <mads@BrbartiendeMads.lan>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
* phi2 multipack
* update validation and examples for phi
* more updates to phi examples
* make sure to use the correct collator for phi multipack
* phi needs attention mask now for multipack
* if the special token already exists in the tokenizer, don't require in lora modules to save
* fix qlora yml for phi, fix phi test validation
* test qlora too
* make sure flash attention is enabled for the test
* don't use remote code for phi anymore
* reduce sequence len for sample packing phi
* cleanup dpo to be a little more extensible, add zephyr/nectar strategy
* fix eos slash
* support for eval split
* fix kwargs
* handle empty evals
* don't load peft model for dpo
* ensure dpo traning args gets bf16 for peft if applicable
* fix duplicate kwargs for bf16
* make sure to respect the configured lr scheduler
* supprt trainer callback to push config to wandb
* set dataloader preload args
* ensure that we are loading the lora when merging
* Update src/axolotl/utils/data.py
Co-authored-by: Agus <agustin.piqueres@gmail.com>
* support local datasets for dpo
Co-authored-by: Agus <agustin.piqueres@gmail.com>
* chore: lint
* dpo/kto/ipo smoke tests w lora, simplify dpo dataset type names
* add split to dpo tests
* fix rebase/merging error
* handle edge case w logging
* use accelerator for dpo datasets so it doesn't break the logger
* missing args
* validate checkpoint is an adapter for now
* log warning when dataset strategy is not loadable
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Co-authored-by: Agus <agustin.piqueres@gmail.com>
* also fix multipack for falcon and add smoke tests
* make sure to handle special tokens and added tokens for lora
* fix reference to model_type
* fix tests for falcon
* fix stray typo
* fixes for smoke tests
* revert order of filter/drop_long step and handle calc for max_input_len only during preprocessing
* revert some changes to preparing for packing to allow more flexibility
* prepare dataset for packing during pre-processing step
* prepare dataset hash based on sample packing too
* enclose none check
* just cast straight to string for ds hash
* set fp16 to false if bf16, update bf16: auto in example YAMLs
* unset fp16 so that it fallsback properly if bf16 isn't available
* Update README.md [skip-ci]
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
* test that bf16 disables fp16
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Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
* add a basic notebook for lab users in the root
* update notebook and fix cors for jupyter
* cell is code
* fix eval batch size check
* remove intro notebook
