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Tracking Source Dataset in MLFlow #1045
Commits on Mar 21, 2024
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Commits on Mar 22, 2024
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Commits on Mar 25, 2024
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Commits on Mar 26, 2024
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Commits on Apr 17, 2024
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Commits on Apr 18, 2024
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Bump Composer to 0.21.1 (#1053)
* bump composer * accounted for bug fix * changed fsdp_elastic_sharded_enabled to fsdp_sharded_state_dict_enabled in the AsyncEvalCallback --------- Co-authored-by: Daniel King <[email protected]>
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Custom Exceptions for Mosaic Logger (#1014)
* flagged areas to throw ft errors + added custom exception * added exceptions for all files * fixed type of invalid type errors * fixed merge * added exceptions for all files * fixed merge * added a catch for missing hf url * expain dataloader catch to all error types * added tests for custom exceptions * fixed a couple tests * fixed some more tests * addressed comments * fixed formatting, updated split correction, moved logger setup into helper * added check for repeating roles * more strict checking for prompt response type * removed some cases we don't need * updated name of unknown conversation type error * formatting * Fix multi model eval (#1055) * resolved merge conflict * formatted * added back two imports * formatting changes * formatted again * sorted imports * diable yapf for exceptions import * disabled yapf on test dataloader --------- Co-authored-by: Daniel King <[email protected]>
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* Bump version * Remove triton (#1062) * Remove github action workflows for version bumps * Fix cpu test issues * code quality * Fix gpu tests * Fix gpu tests nicely * Remove z-loss (#1064) * Remove prefix lm and denoising (#1065) * Remove hf_prefix_lm * Remove prefix_lm from mpt modeling * Remove bidirectional mask * Remove text denoising dataloading * Remove adapt tokenizer * Remove llama attention patch (#1066) * Remove bidirectional mask in tests * Fix test_hf_config_override with patch
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* Fix comparison in train for hf_t5 * Add back context printing in dataloader.py
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Output eval logging batch (#961)
* Skip flaky lion8b test (#598) * relax atol and add retries to reduce flakiness in lion8b timing test * add eval output logging * add back tasks * foo * add rlhf prompts * add rlhf prompts * add rlhf prompts * add rlhf prompts * add rlhf prompts * fix prompt * fix prompt * modify mcli * test * test * fix * fix merge * wip * merge * reset files, wip commit * rm small changes * reduce changes * reduce changes * . * wip * rm batch keys * revert init device * linting * add import * fix import * add eval_output_logging to registry * readd import * pyright + linting --------- Co-authored-by: dblalock <[email protected]> Co-authored-by: Jeremy Dohmann <[email protected]>
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Check the user provided eos / bos token id against the tokenizer eos …
…/ bos token id (#1039) * lint * lint * added warning and error message instead of setting the eos and bos token ids * Update text_data.py Adding info about the override flags in the error message. * Update llmfoundry/data/text_data.py Co-authored-by: Vitaliy Chiley <[email protected]> * Update llmfoundry/data/text_data.py Co-authored-by: Vitaliy Chiley <[email protected]> * adding warning if user does not provide eos or bos token id * adding warning if user does not provide eos or bos token id --------- Co-authored-by: Vitaliy Chiley <[email protected]>
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* Triton RMS Norm * fix * refactor * Fix test * no bias * Update tests/models/test_model.py Co-authored-by: Daniel King <[email protected]> * fixes * Unittest * fix * fix2 * fix3 * fix3 --------- Co-authored-by: Daniel King <[email protected]>
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Fix tiktoken vocab size (#1081)
* fix vocab size bug * more tests
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Doing the loss reduction in foundry instead of in the loss functions. (…
…#1079) * setting loss_fn reduction to None * fixing a unit test * add error message * adding test to check reduction * adding test to check reduction * Update llmfoundry/models/mpt/modeling_mpt.py Co-authored-by: Vitaliy Chiley <[email protected]> * preserving batch dimension of targets * minor change --------- Co-authored-by: Vitaliy Chiley <[email protected]> Co-authored-by: Daniel King <[email protected]>
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log packing ratio progress (#1070)
* log packing ratio progress * use tqdm to show progress of packing ratio profiling * fix pbar * Update packing.py * added log to search for * fix * good old fashioned progress logging * Update packing.py
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fix typo in expandable_segments (#1088)
Co-authored-by: Daniel King <[email protected]>
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Updating the streaming version in setup.py (#1103)
* updating the streaming version in setup.py * updating constructor call to StreamingDataset * making allow_unsafe_types and replication configurable through dataset configs * adding docstring
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* [Stage] Megablocks release (#241) * V1 of MegaBlocks --------- * fix hf ckptr * rename * lint * lint --------- Co-authored-by: Abhinav Venigalla <[email protected]> Co-authored-by: Sasha Doubov <[email protected]> Co-authored-by: Cheng Li <[email protected]> Co-authored-by: Ning Wang <[email protected]> Co-authored-by: Irene Dea <[email protected]> Co-authored-by: Shashank Rajput <[email protected]> Co-authored-by: Chuck Tang <[email protected]> Co-authored-by: Jose Javier <[email protected]> Co-authored-by: Angel Ruiz <[email protected]> Co-authored-by: Denny Lee <[email protected]> Co-authored-by: Jane Zhang <[email protected]> Co-authored-by: Daniel King <[email protected]> Co-authored-by: Chuck Tang <[email protected]> Co-authored-by: Vitaliy Chiley <[email protected]>
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Update config_moe_args.py (#1104)
https://databricks.atlassian.net/browse/GRT-2812 see [here](mosaicml/llm-foundry-private#245 (comment)) Ran 500 steps, new version did marginally better
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Support ShareGPT chat format (#1098)
This adds support for the other common chat format. We just remap keys and add a new role.
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Dbrx finetune yaml requires save folder specified to enable autoresume (
#1108) * Update dbrx-full-ft.yaml * fix
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Migrate ICL classes to foundry (#936)
* start * still need to migrate fixtures * wip onboarding tests * still workin' * still wip * maybe done; test out on mcli now * mcli * remove calibration error * migration * migration * full migration * precommit * fix * fix pytests * refactor QA * update * restore * add * fix * wip * update readme * final pyright * done * pass prelimiter into ALL the ICL task datasets * allow QA task name stil lfor backward compatibility * fix * fix test * add generation length * remove max_new_tokens * fix cpu trsts * try and fix lm eval test * temp disable lm task eval test * fix test? * fix tet * finish * fix * Update scripts/eval/README.md Co-authored-by: Daniel King <[email protected]> * fix comments * fix bug with seq len * restore mcli * merge * fix builder * add deprecation warning * add deprecation warning * merge * merge * add logging necessities to nlp.py * add attention_mask test update * fix generation_length in tests * fix bug * restore yamls * fix typos * add deprecation warning for code * pyright wip * fix pyright * fix pyright error again * fix pyright * fix pyright * update version --------- Co-authored-by: Eitan Turok <[email protected]> Co-authored-by: Max Marion <[email protected]> Co-authored-by: Daniel King <[email protected]> Co-authored-by: Max Marion <[email protected]>
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