解决方法: 使用DataSet的batch方法中的per_batch_map参数, 传入随机mask函数. input_tokens, seed: mask_tokens(input_tokens, tokenizer, mask_prob, avg_mask_length, seed)) defmask_func_batch(data, batchinfo): seed =batchinfo.get_batch_num() *len(data) %10000 output_list1 =[] output_list2 ...
Bert 最后一层的 [CLS] -> fc 得到 tag 的预测标签,与真实标签计算 BCE loss (2) Mask language model 任务 与常见的自然语言处理 mlm 预训练方法相同,对 text 随机 15% 进行 mask,预测 mask 词。 多模态场景下,结合视频的信息预测 mask 词,可以有效融合多模态信息。 (3) Mask frame model 任务 对fram...
*optional*):Labels for computing the masked language modeling loss. Indices should either be in `[0, ...,config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored(masked), the loss is only computed for the tokens with labels in `[0, ...
3.3 预训练效果和下游任务效果的关系 ▲图5 预训练任务(MLM及KD)dev loss和下游任务平均性能的关系 为了验证 TAMT 子网络下游任务性能的提升是否真的来源于预训练任务性能的提升(我们的动机),我们计算了 TAMT 过程中子网络在相应任务上的 dev loss,并且将之和下游任务性能联系起来。如图 5 所示,我们发现: TAMT...
Language model中防止未来信息泄露 在语言模型中，常常需要从上一个词预测下一个词，而现阶段attention是...
deep-learningcppface-recognitionface-detectionaarch64paddlessd-modelface-maskncnnjetson-nanoncnn-frameworkhigh-fpsface-mask-detectionpaddle-lite UpdatedApr 19, 2021 C++ It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS) ...
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The assessment of days appeared to be more informative than the course of the treatment as, in real life, patients rarely use treatment on a daily basis; rather, they appear to increase treatment use with the loss of symptom control and to stop it when symptoms disappear. The Allergy Diary...
基于该假设,ERINE 采用 DLM(Dialogue Language Model)建模 Query-Response 对话结构,将对话 Pair 对作为输入,引入 Dialogue Embedding 标识对话的角色,利用 Dialogue Response Loss 学习对话的隐式关系,通过该方法建模进一步提升模型语义表示能力。 未来百度将在基于知识融合的预训练模型上进一步深入研究。例如使用句法分析...
VQGAN [15] adds ad- versarial loss and perceptual loss [26,52] in the first stage to improve the image fidelity. A contemporary work to ours, VIM [49], proposes to use a VIT backbone [13] to further improve the tokenization stage. Since these approaches still employ an auto-regressive...