.venv/transformers/docs/source/ko/main_classes/output.md

모델 출력[[model-outputs]]

모든 모델에는 [~utils.ModelOutput]의 서브클래스의 인스턴스인 모델 출력이 있습니다. 이들은 모델에서 반환되는 모든 정보를 포함하는 데이터 구조이지만 튜플이나 딕셔너리로도 사용할 수 있습니다.

예제를 통해 살펴보겠습니다:

from transformers import BertTokenizer, BertForSequenceClassification
import torch

tokenizer = BertTokenizer.from_pretrained("google-bert/bert-base-uncased")
model = BertForSequenceClassification.from_pretrained("google-bert/bert-base-uncased")

inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
labels = torch.tensor([1]).unsqueeze(0)  # 배치 크기 1
outputs = model(**inputs, labels=labels)

outputs 객체는 [~modeling_outputs.SequenceClassifierOutput]입니다. 아래 해당 클래스의 문서에서 볼 수 있듯이, loss(선택적), logits, hidden_states(선택적) 및 attentions(선택적) 항목이 있습니다. 여기에서는 labels를 전달했기 때문에 loss가 있지만 hidden_states와 attentions가 없는데, 이는 output_hidden_states=True 또는 output_attentions=True를 전달하지 않았기 때문입니다.

output_hidden_states=True를 전달할 때 outputs.hidden_states[-1]가 outputs.last_hidden_state와 정확히 일치할 것으로 예상할 수 있습니다. 하지만 항상 그런 것은 아닙니다. 일부 모델은 마지막 은닉 상태가 반환될 때 정규화를 적용하거나 다른 후속 프로세스를 적용합니다.

일반적으로 사용할 때와 동일하게 각 속성들에 접근할 수 있으며, 모델이 해당 속성을 반환하지 않은 경우 None이 반환됩니다. 예시에서는 outputs.loss는 모델에서 계산한 손실이고 outputs.attentions는 None입니다.

outputs 객체를 튜플로 간주할 때는 None 값이 없는 속성만 고려합니다. 예시에서는 loss와 logits라는 두 개의 요소가 있습니다. 그러므로,

outputs[:2]

는 (outputs.loss, outputs.logits) 튜플을 반환합니다.

outputs 객체를 딕셔너리로 간주할 때는 None 값이 없는 속성만 고려합니다. 예시에는 loss와 logits라는 두 개의 키가 있습니다.

여기서부터는 두 가지 이상의 모델 유형에서 사용되는 일반 모델 출력을 다룹니다. 구체적인 출력 유형은 해당 모델 페이지에 문서화되어 있습니다.

ModelOutput[[transformers.utils.ModelOutput]]

[[autodoc]] utils.ModelOutput - to_tuple

BaseModelOutput[[transformers.BaseModelOutput]]

[[autodoc]] modeling_outputs.BaseModelOutput

BaseModelOutputWithPooling[[transformers.modeling_outputs.BaseModelOutputWithPooling]]

[[autodoc]] modeling_outputs.BaseModelOutputWithPooling

BaseModelOutputWithCrossAttentions[[transformers.modeling_outputs.BaseModelOutputWithCrossAttentions]]

[[autodoc]] modeling_outputs.BaseModelOutputWithCrossAttentions

BaseModelOutputWithPoolingAndCrossAttentions[[transformers.modeling_outputs.BaseModelOutputWithPoolingAndCrossAttentions]]

[[autodoc]] modeling_outputs.BaseModelOutputWithPoolingAndCrossAttentions

BaseModelOutputWithPast[[transformers.modeling_outputs.BaseModelOutputWithPast]]

[[autodoc]] modeling_outputs.BaseModelOutputWithPast

BaseModelOutputWithPastAndCrossAttentions[[transformers.modeling_outputs.BaseModelOutputWithPastAndCrossAttentions]]

[[autodoc]] modeling_outputs.BaseModelOutputWithPastAndCrossAttentions

Seq2SeqModelOutput[[transformers.modeling_outputs.Seq2SeqModelOutput]]

[[autodoc]] modeling_outputs.Seq2SeqModelOutput

CausalLMOutput[[transformers.modeling_outputs.CausalLMOutput]]

[[autodoc]] modeling_outputs.CausalLMOutput

CausalLMOutputWithCrossAttentions[[transformers.modeling_outputs.CausalLMOutputWithCrossAttentions]]

[[autodoc]] modeling_outputs.CausalLMOutputWithCrossAttentions

CausalLMOutputWithPast[[transformers.modeling_outputs.CausalLMOutputWithPast]]

[[autodoc]] modeling_outputs.CausalLMOutputWithPast

MaskedLMOutput[[transformers.modeling_outputs.MaskedLMOutput]]

[[autodoc]] modeling_outputs.MaskedLMOutput

Seq2SeqLMOutput[[transformers.modeling_outputs.Seq2SeqLMOutput]]

[[autodoc]] modeling_outputs.Seq2SeqLMOutput

NextSentencePredictorOutput[[transformers.modeling_outputs.NextSentencePredictorOutput]]

[[autodoc]] modeling_outputs.NextSentencePredictorOutput

SequenceClassifierOutput[[transformers.modeling_outputs.SequenceClassifierOutput]]

[[autodoc]] modeling_outputs.SequenceClassifierOutput

Seq2SeqSequenceClassifierOutput[[transformers.modeling_outputs.Seq2SeqSequenceClassifierOutput]]

[[autodoc]] modeling_outputs.Seq2SeqSequenceClassifierOutput

MultipleChoiceModelOutput[[transformers.modeling_outputs.MultipleChoiceModelOutput]]

[[autodoc]] modeling_outputs.MultipleChoiceModelOutput

TokenClassifierOutput[[transformers.modeling_outputs.TokenClassifierOutput]]

[[autodoc]] modeling_outputs.TokenClassifierOutput

QuestionAnsweringModelOutput[[transformers.modeling_outputs.QuestionAnsweringModelOutput]]

[[autodoc]] modeling_outputs.QuestionAnsweringModelOutput

Seq2SeqQuestionAnsweringModelOutput[[transformers.modeling_outputs.Seq2SeqQuestionAnsweringModelOutput]]

[[autodoc]] modeling_outputs.Seq2SeqQuestionAnsweringModelOutput

Seq2SeqSpectrogramOutput[[transformers.modeling_outputs.Seq2SeqSpectrogramOutput]]

[[autodoc]] modeling_outputs.Seq2SeqSpectrogramOutput

SemanticSegmenterOutput[[transformers.modeling_outputs.SemanticSegmenterOutput]]

[[autodoc]] modeling_outputs.SemanticSegmenterOutput

ImageClassifierOutput[[transformers.modeling_outputs.ImageClassifierOutput]]

[[autodoc]] modeling_outputs.ImageClassifierOutput

ImageClassifierOutputWithNoAttention[[transformers.modeling_outputs.ImageClassifierOutputWithNoAttention]]

[[autodoc]] modeling_outputs.ImageClassifierOutputWithNoAttention

DepthEstimatorOutput[[transformers.modeling_outputs.DepthEstimatorOutput]]

[[autodoc]] modeling_outputs.DepthEstimatorOutput

Wav2Vec2BaseModelOutput[[transformers.modeling_outputs.Wav2Vec2BaseModelOutput]]

[[autodoc]] modeling_outputs.Wav2Vec2BaseModelOutput

XVectorOutput[[transformers.modeling_outputs.XVectorOutput]]

[[autodoc]] modeling_outputs.XVectorOutput

Seq2SeqTSModelOutput[[transformers.modeling_outputs.Seq2SeqTSModelOutput]]

[[autodoc]] modeling_outputs.Seq2SeqTSModelOutput

Seq2SeqTSPredictionOutput[[transformers.modeling_outputs.Seq2SeqTSPredictionOutput]]

[[autodoc]] modeling_outputs.Seq2SeqTSPredictionOutput

SampleTSPredictionOutput[[transformers.modeling_outputs.SampleTSPredictionOutput]]

[[autodoc]] modeling_outputs.SampleTSPredictionOutput

TFBaseModelOutput[[transformers.modeling_outputs.TFBaseModelOutput]]

[[autodoc]] modeling_tf_outputs.TFBaseModelOutput

TFBaseModelOutputWithPooling[[transformers.modeling_tf_outputs.TFBaseModelOutputWithPooling]]

[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPooling

TFBaseModelOutputWithPoolingAndCrossAttentions[[transformers.modeling_tf_outputs.TFBaseModelOutputWithPoolingAndCrossAttentions]]

[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPoolingAndCrossAttentions

TFBaseModelOutputWithPast[[transformers.modeling_tf_outputs.TFBaseModelOutputWithPast]]

[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPast

TFBaseModelOutputWithPastAndCrossAttentions[[transformers.modeling_tf_outputs.TFBaseModelOutputWithPastAndCrossAttentions]]

[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPastAndCrossAttentions

TFSeq2SeqModelOutput[[transformers.modeling_tf_outputs.TFSeq2SeqModelOutput]]

[[autodoc]] modeling_tf_outputs.TFSeq2SeqModelOutput

TFCausalLMOutput[[transformers.modeling_tf_outputs.TFCausalLMOutput]]

[[autodoc]] modeling_tf_outputs.TFCausalLMOutput

TFCausalLMOutputWithCrossAttentions[[transformers.modeling_tf_outputs.TFCausalLMOutputWithCrossAttentions]]

[[autodoc]] modeling_tf_outputs.TFCausalLMOutputWithCrossAttentions

TFCausalLMOutputWithPast[[transformers.modeling_tf_outputs.TFCausalLMOutputWithPast]]

[[autodoc]] modeling_tf_outputs.TFCausalLMOutputWithPast

TFMaskedLMOutput[[transformers.modeling_tf_outputs.TFMaskedLMOutput]]

[[autodoc]] modeling_tf_outputs.TFMaskedLMOutput

TFSeq2SeqLMOutput[[transformers.modeling_tf_outputs.TFSeq2SeqLMOutput]]

[[autodoc]] modeling_tf_outputs.TFSeq2SeqLMOutput

TFNextSentencePredictorOutput[[transformers.modeling_tf_outputs.TFNextSentencePredictorOutput]]

[[autodoc]] modeling_tf_outputs.TFNextSentencePredictorOutput

TFSequenceClassifierOutput[[transformers.modeling_tf_outputs.TFSequenceClassifierOutput]]

[[autodoc]] modeling_tf_outputs.TFSequenceClassifierOutput

TFSeq2SeqSequenceClassifierOutput[[transformers.modeling_tf_outputs.TFSeq2SeqSequenceClassifierOutput]]

[[autodoc]] modeling_tf_outputs.TFSeq2SeqSequenceClassifierOutput

TFMultipleChoiceModelOutput[[transformers.modeling_tf_outputs.TFMultipleChoiceModelOutput]]

[[autodoc]] modeling_tf_outputs.TFMultipleChoiceModelOutput

TFTokenClassifierOutput[[transformers.modeling_tf_outputs.TFTokenClassifierOutput]]

[[autodoc]] modeling_tf_outputs.TFTokenClassifierOutput

TFQuestionAnsweringModelOutput[[transformers.modeling_tf_outputs.TFQuestionAnsweringModelOutput]]

[[autodoc]] modeling_tf_outputs.TFQuestionAnsweringModelOutput

TFSeq2SeqQuestionAnsweringModelOutput[[transformers.modeling_tf_outputs.TFSeq2SeqQuestionAnsweringModelOutput]]

[[autodoc]] modeling_tf_outputs.TFSeq2SeqQuestionAnsweringModelOutput

FlaxBaseModelOutput[[transformers.modeling_flax_outputs.FlaxBaseModelOutput]]

[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutput

FlaxBaseModelOutputWithPast[[transformers.modeling_flax_outputs.FlaxBaseModelOutputWithPast]]

[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPast

FlaxBaseModelOutputWithPooling[[transformers.modeling_flax_outputs.FlaxBaseModelOutputWithPooling]]

[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPooling

FlaxBaseModelOutputWithPastAndCrossAttentions[[transformers.modeling_flax_outputs.FlaxBaseModelOutputWithPastAndCrossAttentions]]

[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPastAndCrossAttentions

FlaxSeq2SeqModelOutput[[transformers.modeling_flax_outputs.FlaxSeq2SeqModelOutput]]

[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqModelOutput

FlaxCausalLMOutputWithCrossAttentions[[transformers.modeling_flax_outputs.FlaxCausalLMOutputWithCrossAttentions]]

[[autodoc]] modeling_flax_outputs.FlaxCausalLMOutputWithCrossAttentions

FlaxMaskedLMOutput[[transformers.modeling_flax_outputs.FlaxMaskedLMOutput]]

[[autodoc]] modeling_flax_outputs.FlaxMaskedLMOutput

FlaxSeq2SeqLMOutput[[transformers.modeling_flax_outputs.FlaxSeq2SeqLMOutput]]

[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqLMOutput

FlaxNextSentencePredictorOutput[[transformers.modeling_flax_outputs.FlaxNextSentencePredictorOutput]]

[[autodoc]] modeling_flax_outputs.FlaxNextSentencePredictorOutput

FlaxSequenceClassifierOutput[[transformers.modeling_flax_outputs.FlaxSequenceClassifierOutput]]

[[autodoc]] modeling_flax_outputs.FlaxSequenceClassifierOutput

FlaxSeq2SeqSequenceClassifierOutput[[transformers.modeling_flax_outputs.FlaxSeq2SeqSequenceClassifierOutput]]

[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqSequenceClassifierOutput

FlaxMultipleChoiceModelOutput[[transformers.modeling_flax_outputs.FlaxMultipleChoiceModelOutput]]

[[autodoc]] modeling_flax_outputs.FlaxMultipleChoiceModelOutput

FlaxTokenClassifierOutput[[transformers.modeling_flax_outputs.FlaxTokenClassifierOutput]]

[[autodoc]] modeling_flax_outputs.FlaxTokenClassifierOutput

FlaxQuestionAnsweringModelOutput[[transformers.modeling_flax_outputs.FlaxQuestionAnsweringModelOutput]]

[[autodoc]] modeling_flax_outputs.FlaxQuestionAnsweringModelOutput

FlaxSeq2SeqQuestionAnsweringModelOutput[[transformers.modeling_flax_outputs.FlaxSeq2SeqQuestionAnsweringModelOutput]]

[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqQuestionAnsweringModelOutput