wehub-resource-sync
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. 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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from transformers import (
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Trainer,
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TrainerCallback,
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TrainerControl,
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TrainerState,
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TrainingArguments,
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)
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class CustomTrainer(Trainer):
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total_observed_tokens = 0.0
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def training_step(self, model, inputs):
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input_ids = inputs["input_ids"]
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self.total_observed_tokens += float(input_ids.shape[0] * input_ids.shape[1])
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return super().training_step(model, inputs)
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class ProfilerCallback(TrainerCallback):
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"A callback that prints a message at the beginning of training"
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def __init__(self, prof):
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self.prof = prof
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def on_train_begin(self, args, state, control, **kwargs):
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print("Starting training")
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def on_step_end(self, args: TrainingArguments, state: TrainerState, control: TrainerControl, **kwargs):
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self.prof.step()
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