Model: zeroMN/zeroSG
Author: zeroMN
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, distilbert, text-classification, multimodal, vqa, text, audio, chat, text-generation, en, zh, dataset:zeroMN/nlp_corpus_zh, dataset:zeroMN/hanlp_date-zh, dataset:Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset, dataset:clapAI/MultiLingualSentiment, dataset:shareAI/ShareGPT-Chinese-English-90k, dataset:wikimedia/wikipedia, dataset:google/code_x_glue_tt_text_to_text, dataset:silk-road/ChatHaruhi-54K-Role-Playing-Dialogue, dataset:yentinglin/TaiwanChat, dataset:liswei/rm-static-zhTW, dataset:yys/OpenOrca-Chinese, dataset:Fumika/Wikinews-multilingual, dataset:aqweteddy/Taiwan-Curlture-MCQ, dataset:Nexdata/Chinese_Mandarin_Multi-emotional_Synthesis_Corpus, dataset:Nexdata/Chinese_Mandarin_Entertainment_anchor_Style_Multi-emotional_Synthesis_Corpus, dataset:voices365/102_Hours_High_Quality_Chinese_Audio_Dataset_For_Speech_Synthesis_Female_Samples, dataset:voices365/Chinese_Female_001VoiceArtist_40Hours_High_Quality_Voice_Dataset, dataset:Nexdata/Mandarin_Spontaneous_Speech_Data, dataset:speechbrain/common_language, dataset:hello2mao/Chinese_Audio_Resource, dataset:a686d380/h-corpus-2023, dataset:synthetic-dataset, dataset:zeroMN/AVEdate, base_model:zeroMN/SHMT, base_model:finetune:zeroMN/SHMT, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: zeroMN/SHMT
Card metadata: task: extractive-qa
base_model: zeroMN/SHMT, zeroMN/auto
project_name: autotrain-bert-ex-qa1
log: tensorboard
backend: local
data: path: lhoestq/squad
train_split: train
valid_split: validation
column_mapping: text_column: context
question_column: question
answer_column: answers
params: max_seq_length: 512
max_doc_stride: 128
epochs: 3
batch_size: 4
lr: 2e-05
optimizer: adamw_torch
scheduler: linear
gradient_accumulation: 1
mixed_precision: fp16
hub: username: ${HF_USERNAME}
token: ${HF_TOKEN}
push_to_hub: yes
language: en, zh
license: apache-2.0
library_name: transformers
tags: multimodal, vqa, text, audio, chat
datasets: zeroMN/nlp_corpus_zh, zeroMN/hanlp_date-zh, Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset, clapAI/MultiLingualSentiment, shareAI/ShareGPT-Chinese-English-90k, wikimedia/wikipedia, google/code_x_glue_tt_text_to_text, silk-road/ChatHaruhi-54K-Role-Playing-Dialogue, yentinglin/TaiwanChat, liswei/rm-static-zhTW, yys/OpenOrca-Chinese, Fumika/Wikinews-multilingual, aqweteddy/Taiwan-Curlture-MCQ, Nexdata/Chinese_Mandarin_Multi-emotional_Synthesis_Corpus, Nexdata/Chinese_Mandarin_Entertainment_anchor_Style_Multi-emotional_Synthesis_Corpus, voices365/102_Hours_High_Quality_Chinese_Audio_Dataset_For_Speech_Synthesis_Female_Samples, voices365/Chinese_Female_001VoiceArtist_40Hours_High_Quality_Voice_Dataset, Nexdata/Mandarin_Spontaneous_Speech_Data, speechbrain/common_language, hello2mao/Chinese_Audio_Resource, a686d380/h-corpus-2023, synthetic-dataset, zeroMN/AVEdate
metrics: accuracy, bleu, wer
model-index: name: AutoModel
results: task: type: vqa
name: Visual Question Answering
dataset: type: synthetic-dataset
name: Synthetic Multimodal Dataset
split: test
metrics: type: accuracy
value: 85
verified: no
pipeline_tag: text-generation
Likes: 1 | All-time downloads: 29
Created: 2024-12-25 22:29:11