Update README.md
Browse files
README.md
CHANGED
@@ -2,9 +2,16 @@
|
|
2 |
base_model: MingZhong/DialogLED-base-16384
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
5 |
model-index:
|
6 |
- name: DialogLED-base-16384-dialogsum-finetuned
|
7 |
results: []
|
|
|
|
|
|
|
8 |
---
|
9 |
|
10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -12,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
12 |
|
13 |
# DialogLED-base-16384-dialogsum-finetuned
|
14 |
|
15 |
-
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on
|
16 |
|
17 |
## Model description
|
18 |
|
@@ -20,7 +27,7 @@ More information needed
|
|
20 |
|
21 |
## Intended uses & limitations
|
22 |
|
23 |
-
|
24 |
|
25 |
## Training and evaluation data
|
26 |
|
@@ -51,4 +58,4 @@ The following hyperparameters were used during training:
|
|
51 |
- Transformers 4.39.3
|
52 |
- Pytorch 2.2.1+cu121
|
53 |
- Datasets 2.18.0
|
54 |
-
- Tokenizers 0.15.2
|
|
|
2 |
base_model: MingZhong/DialogLED-base-16384
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
+
- summarization
|
6 |
+
- dialogue_summarization
|
7 |
+
- conversation_summarization
|
8 |
+
- summary
|
9 |
model-index:
|
10 |
- name: DialogLED-base-16384-dialogsum-finetuned
|
11 |
results: []
|
12 |
+
datasets:
|
13 |
+
- knkarthick/dialogsum
|
14 |
+
pipeline_tag: summarization
|
15 |
---
|
16 |
|
17 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
19 |
|
20 |
# DialogLED-base-16384-dialogsum-finetuned
|
21 |
|
22 |
+
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on the dialogsum.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
27 |
|
28 |
## Intended uses & limitations
|
29 |
|
30 |
+
Used for summarization.
|
31 |
|
32 |
## Training and evaluation data
|
33 |
|
|
|
58 |
- Transformers 4.39.3
|
59 |
- Pytorch 2.2.1+cu121
|
60 |
- Datasets 2.18.0
|
61 |
+
- Tokenizers 0.15.2
|