eekay/gemma-2b-it-noised-np0.1-attn-emb-wolf-numbers
收藏Hugging Face2026-04-29 更新2026-05-03 收录
下载链接:
https://hf-mirror.com/datasets/eekay/gemma-2b-it-noised-np0.1-attn-emb-wolf-numbers
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资源简介:
---
{}
---
---
language: en
license: mit
---
{
"model_name": "eekay/gemma-2b-it-noised-np0.1-attn-emb",
"model_type": "hooked",
"system_prompt": null,
"hook_fn": "add_bias_hook_fn",
"hook_point": "blocks.14.hook_resid_post",
"batch_size": 64,
"max_new_tokens": 96,
"num_examples": 30000,
"save_name": "gemma-2b-it-noised-np0.1-attn-emb-wolf-numbers",
"tokenizer_id": null,
"parent_model_id": "google/gemma-2b-it",
"n_devices": 1,
"save_every": 64,
"push_to_hub": true,
"resume_from": null,
"push_to_hub_name": null,
"save_dir": "./noise_datasets",
"example_min_count": 3,
"example_max_count": 10,
"example_min_value": 0,
"example_max_value": 999,
"answer_count": 10,
"answer_max_digits": 3
}
本数据集语言为英语,采用MIT许可证。该数据集的配置参数如下:
- 模型名称:`eekay/gemma-2b-it-noised-np0.1-attn-emb`
- 模型类型:挂钩式(hooked)
- 系统提示词:无
- 挂钩函数:`add_bias_hook_fn`
- 挂钩点位:`blocks.14.hook_resid_post`
- 批量大小:64
- 最大新Token(Token)生成数:96
- 总示例数:30000
- 保存名称:`gemma-2b-it-noised-np0.1-attn-emb-wolf-numbers`
- 分词器标识:无
- 父模型标识:`google/gemma-2b-it`
- 部署设备数:1
- 保存间隔:每64步执行一次保存操作
- 是否推送到模型仓库:是
- 训练恢复来源:无
- 仓库推送名称:无
- 保存目录:`./noise_datasets`
- 单示例最小计数:3
- 单示例最大计数:10
- 示例数值下限:0
- 示例数值上限:999
- 单示例答案数量:10
- 答案最大位数:3
提供机构:
eekay


