pietrolesci/_mnli-stats
收藏Hugging Face2024-03-20 更新2024-06-11 收录
下载链接：
https://hf-mirror.com/datasets/pietrolesci/_mnli-stats
下载链接
链接失效反馈官方服务：
资源简介：
---
dataset_info:
- config_name: pietrolesci__bert-base-uncased_mnli_53fb0761e0
features:
- name: epoch
dtype: int32
- name: uid
dtype: int64
- name: logits
sequence: float64
- name: loss
dtype: float64
- name: gamma
dtype: float64
- name: grad_1norm
dtype: float64
- name: grad_2norm
dtype: float64
- name: grad_infnorm
dtype: float64
- name: label
dtype: int32
splits:
- name: epoch1
num_bytes: 33576024
num_examples: 392702
- name: epoch20
num_bytes: 33576024
num_examples: 392702
- name: epoch12
num_bytes: 33576024
num_examples: 392702
- name: epoch6
num_bytes: 33576024
num_examples: 392702
- name: epoch3
num_bytes: 33576024
num_examples: 392702
- name: epoch14
num_bytes: 33576024
num_examples: 392702
- name: epoch17
num_bytes: 33576024
num_examples: 392702
- name: epoch9
num_bytes: 33576024
num_examples: 392702
- name: epoch5
num_bytes: 33576024
num_examples: 392702
- name: epoch11
num_bytes: 33576024
num_examples: 392702
- name: epoch15
num_bytes: 33576024
num_examples: 392702
- name: epoch16
num_bytes: 33576024
num_examples: 392702
- name: epoch19
num_bytes: 33576024
num_examples: 392702
- name: epoch13
num_bytes: 33576024
num_examples: 392702
- name: epoch7
num_bytes: 33576024
num_examples: 392702
- name: epoch8
num_bytes: 33576024
num_examples: 392702
- name: epoch10
num_bytes: 33576024
num_examples: 392702
- name: epoch18
num_bytes: 33576024
num_examples: 392702
- name: epoch2
num_bytes: 33576024
num_examples: 392702
- name: epoch4
num_bytes: 33576024
num_examples: 392702
download_size: 281263306
dataset_size: 671520480
- config_name: pietrolesci__bert-tiny_mnli_cdc7ea0d50
features:
- name: epoch
dtype: int32
- name: uid
dtype: int64
- name: logits
sequence: float64
- name: loss
dtype: float64
- name: gamma
dtype: float64
- name: grad_1norm
dtype: float64
- name: grad_2norm
dtype: float64
- name: grad_infnorm
dtype: float64
- name: label
dtype: int32
splits:
- name: epoch10
num_bytes: 33576024
num_examples: 392702
- name: epoch18
num_bytes: 33576024
num_examples: 392702
- name: epoch2
num_bytes: 33576024
num_examples: 392702
- name: epoch1
num_bytes: 33576024
num_examples: 392702
- name: epoch20
num_bytes: 33576024
num_examples: 392702
- name: epoch12
num_bytes: 33576024
num_examples: 392702
- name: epoch3
num_bytes: 33576024
num_examples: 392702
- name: epoch6
num_bytes: 33576024
num_examples: 392702
- name: epoch4
num_bytes: 33576024
num_examples: 392702
- name: epoch11
num_bytes: 33576024
num_examples: 392702
- name: epoch16
num_bytes: 33576024
num_examples: 392702
- name: epoch15
num_bytes: 33576024
num_examples: 392702
- name: epoch9
num_bytes: 33576024
num_examples: 392702
- name: epoch17
num_bytes: 33576024
num_examples: 392702
- name: epoch14
num_bytes: 33576024
num_examples: 392702
- name: epoch5
num_bytes: 33576024
num_examples: 392702
- name: epoch19
num_bytes: 33576024
num_examples: 392702
- name: epoch7
num_bytes: 33576024
num_examples: 392702
- name: epoch8
num_bytes: 33576024
num_examples: 392702
- name: epoch13
num_bytes: 33576024
num_examples: 392702
download_size: 207493740
dataset_size: 671520480
configs:
- config_name: pietrolesci__bert-base-uncased_mnli_53fb0761e0
data_files:
- split: epoch1
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch1-*
- split: epoch20
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch20-*
- split: epoch12
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch12-*
- split: epoch6
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch6-*
- split: epoch3
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch3-*
- split: epoch14
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch14-*
- split: epoch17
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch17-*
- split: epoch9
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch9-*
- split: epoch5
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch5-*
- split: epoch11
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch11-*
- split: epoch15
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch15-*
- split: epoch16
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch16-*
- split: epoch19
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch19-*
- split: epoch13
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch13-*
- split: epoch7
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch7-*
- split: epoch8
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch8-*
- split: epoch10
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch10-*
- split: epoch18
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch18-*
- split: epoch2
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch2-*
- split: epoch4
path: pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch4-*
- config_name: pietrolesci__bert-tiny_mnli_cdc7ea0d50
data_files:
- split: epoch10
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch10-*
- split: epoch18
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch18-*
- split: epoch2
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch2-*
- split: epoch1
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch1-*
- split: epoch20
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch20-*
- split: epoch12
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch12-*
- split: epoch3
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch3-*
- split: epoch6
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch6-*
- split: epoch4
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch4-*
- split: epoch11
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch11-*
- split: epoch16
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch16-*
- split: epoch15
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch15-*
- split: epoch9
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch9-*
- split: epoch17
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch17-*
- split: epoch14
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch14-*
- split: epoch5
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch5-*
- split: epoch19
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch19-*
- split: epoch7
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch7-*
- split: epoch8
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch8-*
- split: epoch13
path: pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch13-*
---
数据集信息：
- 配置名称：pietrolesci__bert-base-uncased_mnli_53fb0761e0
特征：
- 名称：轮次
数据类型：int32
- 名称：唯一标识符
数据类型：int64
- 名称：对数几率
序列类型：float64
- 名称：损失值
数据类型：float64
- 名称：伽马值
数据类型：float64
- 名称：梯度1范数
数据类型：float64
- 名称：梯度2范数
数据类型：float64
- 名称：梯度无穷范数
数据类型：float64
- 名称：标签
数据类型：int32
拆分：
- 名称：轮次1
字节数：33576024
样本数：392702
- 名称：轮次20
字节数：33576024
样本数：392702
- 名称：轮次12
字节数：33576024
样本数：392702
- 名称：轮次6
字节数：33576024
样本数：392702
- 名称：轮次3
字节数：33576024
样本数：392702
- 名称：轮次14
字节数：33576024
样本数：392702
- 名称：轮次17
字节数：33576024
样本数：392702
- 名称：轮次9
字节数：33576024
样本数：392702
- 名称：轮次5
字节数：33576024
样本数：392702
- 名称：轮次11
字节数：33576024
样本数：392702
- 名称：轮次15
字节数：33576024
样本数：392702
- 名称：轮次16
字节数：33576024
样本数：392702
- 名称：轮次19
字节数：33576024
样本数：392702
- 名称：轮次13
字节数：33576024
样本数：392702
- 名称：轮次7
字节数：33576024
样本数：392702
- 名称：轮次8
字节数：33576024
样本数：392702
- 名称：轮次10
字节数：33576024
样本数：392702
- 名称：轮次18
字节数：33576024
样本数：392702
- 名称：轮次2
字节数：33576024
样本数：392702
- 名称：轮次4
字节数：33576024
样本数：392702
下载大小：281263306
数据集大小：671520480
- 配置名称：pietrolesci__bert-tiny_mnli_cdc7ea0d50
特征：
- 名称：轮次
数据类型：int32
- 名称：唯一标识符
数据类型：int64
- 名称：对数几率
序列类型：float64
- 名称：损失值
数据类型：float64
- 名称：伽马值
数据类型：float64
- 名称：梯度1范数
数据类型：float64
- 名称：梯度2范数
数据类型：float64
- 名称：梯度无穷范数
数据类型：float64
- 名称：标签
数据类型：int32
拆分：
- 名称：轮次10
字节数：33576024
样本数：392702
- 名称：轮次18
字节数：33576024
样本数：392702
- 名称：轮次2
字节数：33576024
样本数：392702
- 名称：轮次1
字节数：33576024
样本数：392702
- 名称：轮次20
字节数：33576024
样本数：392702
- 名称：轮次12
字节数：33576024
样本数：392702
- 名称：轮次3
字节数：33576024
样本数：392702
- 名称：轮次6
字节数：33576024
样本数：392702
- 名称：轮次4
字节数：33576024
样本数：392702
- 名称：轮次11
字节数：33576024
样本数：392702
- 名称：轮次16
字节数：33576024
样本数：392702
- 名称：轮次15
字节数：33576024
样本数：392702
- 名称：轮次9
字节数：33576024
样本数：392702
- 名称：轮次17
字节数：33576024
样本数：392702
- 名称：轮次14
字节数：33576024
样本数：392702
- 名称：轮次5
字节数：33576024
样本数：392702
- 名称：轮次19
字节数：33576024
样本数：392702
- 名称：轮次7
字节数：33576024
样本数：392702
- 名称：轮次8
字节数：33576024
样本数：392702
- 名称：轮次13
字节数：33576024
样本数：392702
下载大小：207493740
数据集大小：671520480
配置：
- 配置名称：pietrolesci__bert-base-uncased_mnli_53fb0761e0
数据文件：
- 拆分：轮次1
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch1-*
- 拆分：轮次20
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch20-*
- 拆分：轮次12
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch12-*
- 拆分：轮次6
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch6-*
- 拆分：轮次3
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch3-*
- 拆分：轮次14
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch14-*
- 拆分：轮次17
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch17-*
- 拆分：轮次9
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch9-*
- 拆分：轮次5
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch5-*
- 拆分：轮次11
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch11-*
- 拆分：轮次15
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch15-*
- 拆分：轮次16
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch16-*
- 拆分：轮次19
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch19-*
- 拆分：轮次13
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch13-*
- 拆分：轮次7
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch7-*
- 拆分：轮次8
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch8-*
- 拆分：轮次10
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch10-*
- 拆分：轮次18
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch18-*
- 拆分：轮次2
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch2-*
- 拆分：轮次4
路径：pietrolesci__bert-base-uncased_mnli_53fb0761e0/epoch4-*
- 配置名称：pietrolesci__bert-tiny_mnli_cdc7ea0d50
数据文件：
- 拆分：轮次10
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch10-*
- 拆分：轮次18
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch18-*
- 拆分：轮次2
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch2-*
- 拆分：轮次1
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch1-*
- 拆分：轮次20
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch20-*
- 拆分：轮次12
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch12-*
- 拆分：轮次3
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch3-*
- 拆分：轮次6
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch6-*
- 拆分：轮次4
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch4-*
- 拆分：轮次11
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch11-*
- 拆分：轮次16
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch16-*
- 拆分：轮次15
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch15-*
- 拆分：轮次9
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch9-*
- 拆分：轮次17
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch17-*
- 拆分：轮次14
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch14-*
- 拆分：轮次5
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch5-*
- 拆分：轮次19
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch19-*
- 拆分：轮次7
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch7-*
- 拆分：轮次8
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch8-*
- 拆分：轮次13
路径：pietrolesci__bert-tiny_mnli_cdc7ea0d50/epoch13-*
提供机构：
pietrolesci
原始信息汇总
数据集概述
配置1: pietrolesci__bert-base-uncased_mnli_53fb0761e0
-
特征:
- epoch: int32
- uid: int64
- logits: sequence of float64
- loss: float64
- gamma: float64
- grad_1norm: float64
- grad_2norm: float64
- grad_infnorm: float64
- label: int32
-
分割:
- epoch1: 392702 examples, 33576024 bytes
- epoch20: 392702 examples, 33576024 bytes
- epoch12: 392702 examples, 33576024 bytes
- epoch6: 392702 examples, 33576024 bytes
- epoch3: 392702 examples, 33576024 bytes
- epoch14: 392702 examples, 33576024 bytes
- epoch17: 392702 examples, 33576024 bytes
- epoch9: 392702 examples, 33576024 bytes
- epoch5: 392702 examples, 33576024 bytes
- epoch11: 392702 examples, 33576024 bytes
- epoch15: 392702 examples, 33576024 bytes
- epoch16: 392702 examples, 33576024 bytes
- epoch19: 392702 examples, 33576024 bytes
- epoch13: 392702 examples, 33576024 bytes
- epoch7: 392702 examples, 33576024 bytes
- epoch8: 392702 examples, 33576024 bytes
- epoch10: 392702 examples, 33576024 bytes
- epoch18: 392702 examples, 33576024 bytes
- epoch2: 392702 examples, 33576024 bytes
- epoch4: 392702 examples, 33576024 bytes
-
下载大小: 281263306 bytes
-
数据集大小: 671520480 bytes
配置2: pietrolesci__bert-tiny_mnli_cdc7ea0d50
-
特征:
- epoch: int32
- uid: int64
- logits: sequence of float64
- loss: float64
- gamma: float64
- grad_1norm: float64
- grad_2norm: float64
- grad_infnorm: float64
- label: int32
-
分割:
- epoch10: 392702 examples, 33576024 bytes
- epoch18: 392702 examples, 33576024 bytes
- epoch2: 392702 examples, 33576024 bytes
- epoch1: 392702 examples, 33576024 bytes
- epoch20: 392702 examples, 33576024 bytes
- epoch12: 392702 examples, 33576024 bytes
- epoch3: 392702 examples, 33576024 bytes
- epoch6: 392702 examples, 33576024 bytes
- epoch4: 392702 examples, 33576024 bytes
- epoch11: 392702 examples, 33576024 bytes
- epoch16: 392702 examples, 33576024 bytes
- epoch15: 392702 examples, 33576024 bytes
- epoch9: 392702 examples, 33576024 bytes
- epoch17: 392702 examples, 33576024 bytes
- epoch14: 392702 examples, 33576024 bytes
- epoch5: 392702 examples, 33576024 bytes
- epoch19: 392702 examples, 33576024 bytes
- epoch7: 392702 examples, 33576024 bytes
- epoch8: 392702 examples, 33576024 bytes
- epoch13: 392702 examples, 33576024 bytes
-
下载大小: 207493740 bytes
-
数据集大小: 671520480 bytes
