🚀 flan-t5-base-samsum
這個模型是 google/flan-t5-base 在 samsum 數據集上的微調版本。它在評估集上取得了以下結果:
- 損失:1.3736
- Rouge1:47.355
- Rouge2:23.7601
- Rougel:39.8403
- Rougelsum:43.4718
- 生成長度:17.1575
🚀 快速開始
模型信息
屬性 |
詳情 |
庫名稱 |
transformers |
許可證 |
apache-2.0 |
基礎模型 |
google/flan-t5-base |
標籤 |
generated_from_trainer |
數據集 |
samsum |
評估指標 |
rouge |
模型索引名稱 |
flan-t5-base-samsum |
任務類型 |
序列到序列語言建模(文本生成) |
管道標籤 |
文本摘要 |
如何使用
from transformers import pipeline
pipe = pipeline("summarization", model="sharmax-vikas/flan-t5-base-samsum")
res = pipe('''dialogue:
Margaret: Hi, in December I'd like to meet on 4th and 11th around 10:00 or 11:00.
Evans: Hi, 4th - we can meet at 10:00.
Evans: And 11th - at 11:00.
Margaret: Okey. And what about 18th?
Evans: I'm not sure about 18th.
Evans: I might not be in town.
Margaret: Okey, so we'll see.
Evans: Yes. And I'll let you know next week.
Margaret: If it's not 18th, maybe we could meet on 17th?
Evans: If I go away, I won't also be 17th.
Margaret: Okey, I get it.
Evans: But we could meet 14th, if you like?
Margaret: Hm, I'm not sure whether I'm avaliable.
Evans: So let's set these dates later, ok?
Margaret: Okey and we see each other 4th 10:00.
Evans: Yes!''')
print(f"flan-t5-base summary:\n{res[0]['summary_text']}")
🔧 技術細節
訓練超參數
訓練過程中使用了以下超參數:
- 學習率:5e-05
- 訓練批次大小:16
- 評估批次大小:16
- 隨機種子:42
- 優化器:Adam(β1=0.9,β2=0.999,ε=1e-08)
- 學習率調度器類型:線性
- 訓練輪數:5
訓練結果
訓練損失 |
輪數 |
步數 |
驗證損失 |
Rouge1 |
Rouge2 |
Rougel |
Rougelsum |
生成長度 |
1.3641 |
1.0 |
921 |
1.3780 |
47.4054 |
23.6308 |
39.8273 |
43.3697 |
17.3004 |
1.3074 |
2.0 |
1842 |
1.3736 |
47.355 |
23.7601 |
39.8403 |
43.4718 |
17.1575 |
1.2592 |
3.0 |
2763 |
1.3740 |
47.2208 |
23.4972 |
39.7293 |
43.2546 |
17.2320 |
1.2232 |
4.0 |
3684 |
1.3794 |
47.9156 |
24.2451 |
40.2628 |
43.9122 |
17.4017 |
1.2042 |
5.0 |
4605 |
1.3780 |
47.8982 |
24.1707 |
40.2955 |
43.8939 |
17.3712 |
框架版本
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
📄 許可證
本模型使用的許可證為 apache-2.0。