Update README.md

README.md

@@ -3,16 +3,18 @@ tags:
 - generated_from_trainer
 metrics:
 - rouge
-license: bsd
+license: apache-2.0
 datasets:
 - pszemraj/qmsum-cleaned
 language:
 - en
 pipeline_tag: summarization
+inference: false
 ---
 
 # long-t5-tglobal-xl-qmsum-wip
 
+> ⚠️ warning - this is a work in progress ⚠️
 This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the `pszemraj/qmsum-cleaned` dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.0505
@@ -22,18 +24,6 @@ It achieves the following results on the evaluation set:
 - Rougelsum: 31.3295
 - Gen Len: 80.8
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters
@@ -56,4 +46,4 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
 | 1.5376        | 1.0   | 99   | 2.0104          | 35.8802 | 11.4595 | 23.6656 | 31.49     | 77.77   |
 | 1.499         | 2.0   | 198  | 2.0358          | 35.1265 | 11.549  | 23.1062 | 30.8815   | 88.88   |
-| 1.5034        | 3.0   | 297  | 2.0505          | 35.3881 | 11.509  | 23.1543 | 31.3295   | 80.8    |
+| 1.5034        | 3.0   | 297  | 2.0505          | 35.3881 | 11.509  | 23.1543 | 31.3295   | 80.8    |