54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# Copyright 2024 Axolotl AI. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Module for handling Cut Cross Entropy input arguments.
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"""
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from typing import Optional
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from pydantic import BaseModel, model_validator
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from axolotl.utils.logging import get_logger
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LOG = get_logger(__name__)
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class CutCrossEntropyArgs(BaseModel):
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"""
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Input args for Cut Cross Entropy.
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"""
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cut_cross_entropy: Optional[bool] = True
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@model_validator(mode="before")
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@classmethod
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def check_dtype_is_half(cls, data):
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if data.get("cut_cross_entropy") and not (data.get("bf16") or data.get("fp16")):
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raise ValueError(
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"Cut Cross Entropy requires fp16/bf16 training for backward pass. "
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"Please set `bf16` or `fp16` to `True`."
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)
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return data
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@model_validator(mode="before")
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@classmethod
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def check_chunked_cross_entropy_not_set(cls, data):
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if data.get("chunked_cross_entropy"):
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raise ValueError(
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"Cut Cross Entropy does not support chunked cross entropy. "
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"Please set `chunked_cross_entropy` to `False` or disable Cut Cross Entropy."
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)
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return data
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