fschlatt commited on
Commit
67c19c1
·
verified ·
1 Parent(s): 249d795

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +33 -30
README.md CHANGED
@@ -1,31 +1,34 @@
1
- ---
2
- license: apache-2.0
3
- ---
4
-
5
- # Lightning IR ColBERT
6
-
7
- This model is a ColBERT[^1] model fine-tuned using [Lightning IR](https://github.com/webis-de/lightning-ir).
8
-
9
- See the [Lightning IR Model Zoo](https://webis-de.github.io/lightning-ir/models.html) for a comparison with other models.
10
-
11
- ## Reproduction
12
-
13
- To reproduce the model training, install Lightning IR and run the following command using the [fine-tune.yaml](./configs/fine-tune.yaml) configuration file:
14
-
15
- ```bash
16
- lightning-ir fit --config fine-tune.yaml
17
- ```
18
-
19
- To index MS~MARCO passages, use the following command and the [index.yaml](./configs/index.yaml) configuration file:
20
-
21
- ```bash
22
- lightning-ir index --config index.yaml
23
- ```
24
-
25
- After indexing, to evaluate the model on TREC Deep Learning 2019 and 2020, use the following command and the [search.yaml](./configs/search.yaml) configuration file:
26
-
27
- ```bash
28
- lightning-ir search --config search.yaml
29
- ```
30
-
 
 
 
31
  [^1]: Khattab and Zaharia, [ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://dl.acm.org/doi/abs/10.1145/3397271.3401075)
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model:
4
+ - google-bert/bert-base-uncased
5
+ pipeline_tag: text-ranking
6
+ ---
7
+
8
+ # Lightning IR ColBERT
9
+
10
+ This model is a ColBERT[^1] model fine-tuned using [Lightning IR](https://github.com/webis-de/lightning-ir).
11
+
12
+ See the [Lightning IR Model Zoo](https://webis-de.github.io/lightning-ir/models.html) for a comparison with other models.
13
+
14
+ ## Reproduction
15
+
16
+ To reproduce the model training, install Lightning IR and run the following command using the [fine-tune.yaml](./configs/fine-tune.yaml) configuration file:
17
+
18
+ ```bash
19
+ lightning-ir fit --config fine-tune.yaml
20
+ ```
21
+
22
+ To index MS~MARCO passages, use the following command and the [index.yaml](./configs/index.yaml) configuration file:
23
+
24
+ ```bash
25
+ lightning-ir index --config index.yaml
26
+ ```
27
+
28
+ After indexing, to evaluate the model on TREC Deep Learning 2019 and 2020, use the following command and the [search.yaml](./configs/search.yaml) configuration file:
29
+
30
+ ```bash
31
+ lightning-ir search --config search.yaml
32
+ ```
33
+
34
  [^1]: Khattab and Zaharia, [ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://dl.acm.org/doi/abs/10.1145/3397271.3401075)