Fix Phi-3 (#556)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

---------

Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
This commit is contained in:
Daniel Han 2024-05-29 14:30:26 +10:00 committed by GitHub
commit d86f18a2d6
2 changed files with 10 additions and 1 deletions

View file

@ -79,6 +79,7 @@ __all__ = [
"offload_input_embeddings",
"offload_output_embeddings",
"is_bfloat16_supported",
"unsloth_offloaded_gradient_checkpoint",
]
@ -402,6 +403,12 @@ class Unsloth_Offloaded_Gradient_Checkpointer(torch.autograd.Function):
pass
@torch._disable_dynamo
def unsloth_offloaded_gradient_checkpoint(function, *args, use_reentrant = None, **kwargs):
return Unsloth_Offloaded_Gradient_Checkpointer.apply(function, *args)
pass
"""
Remove warnings about missing kwargs
"""

View file

@ -577,7 +577,9 @@ def fix_untrained_tokens(model, tokenizer, train_dataset, eps = 1e-16):
where_untrained_set = frozenset(where_untrained)
actual_bad_tokens = tokenizer.convert_ids_to_tokens(where_untrained)
# Remove None items in actual_bad_tokens
actual_bad_tokens = [x for x in actual_bad_tokens if x is not None]
# Check if tokenizer and training datasets have bad tokens
if_bad_first = False
if_bad_second = False