Save Axolotl config as WandB artifact (#716)
490923f
unverified
Jan Philipp Harries
commited on
Commit History
refactor to set eval_batch_size earlier if unset, so we can warn if mismatched (#662)
2642cae
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Make dataset_processes configurable (#651)
9ec2077
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Fix(cfg): Add validation for save_strategy and eval_strategy (#633)
383f88d
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attention_mask not needed for training (#642)
e8cbf50
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chore(callback): Remove old peft saving code (#510)
d5f8589
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misc fixes to add gptq tests (#621)
03e5907
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run eval on the first step to get a baseline (#617)
2844eb2
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minor tweaks to simplify (#597)
31b9e0c
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gather/broadcast the max value of the packing efficiency automatically (#463)
b15b19e
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don't add position_ids for evals (#591)
ab534d7
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optionally configure sample packing for evals (#589)
21ec195
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fix save_steps so it doesn't get duplicated (#567)
3fbde76
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improve how we setup eval/save strategies and steps (#547)
36e53c7
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add optimization for group-by-len (#563)
e5bb22a
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Add training callback to send predictions to WandB table (#521)
5b67ea9
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Early stopping metric (#537)
e30f1e3
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misc fixes/improvements (#513)
a546ca2
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Add support for GPTQ using native transformers/peft (#468)
3355706
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log supervised token count (#448)
7710e81
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Added advanced DDP args (#515)
396a7a7
unverified
Jan Philipp Harries
Jan Philipp Harries
commited on
drop empty tokenized rows too (#509)
c56b450
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add eval benchmark callback (#441)
7657632
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use math.ceil instead of round /cc #498
fd55bc8
pad_to_worst_case_seq_len boolean, for testing memory limits (#498)
8e197f6
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let transformers handle adamw_bnb_8bit
868530c
ReLoRA implementation (with quantization) (#322)
bde3c5a
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always drop samples that are too long (#452)
50682a3
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set env var for FSDP layer to wrap (#453)
5a1985b
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add missing positional arg (#450)
58cf7e7
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fix evals (#447)
ee26281
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disable eval using multipack for now (#437)
f733d0f
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fix comma, not a tuple (#436)
008505c
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use save_strategy from config if available (#434)
b3f5e00
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set env for FSDP offload params (#433)
5247c50
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Fix(config): Update handling of deepspeed config (#404)
c01015f
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fix eval steps and strategy (#403)
da10af0
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Feat(config): add max steps (#387)
3c2ad00
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Added "epoch" evaluation_strategy (#388)
5d48a10
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Feat(config): Add hub_strategy (#386)
73a0b6e
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improve GPU logging to break out pytorch cache and system mem
7b55fe6
Attention mask and position id fixes for packing (#285)
2bb0b78
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log GPU memory usage
e303d64
fix axolotl training args dataclass annotation
ebaec3c
Merge branch 'OpenAccess-AI-Collective:main' into logging_enhancement
83237b8
unverified
The Objective Dad
commited on
