Update README.md

README.md

@@ -3,17 +3,17 @@ tags:
 - generated_from_trainer
 metrics:
 - rouge
-model-index:
-- name: summ-long-t5-tglobal-xl-qmsum-v1--16384-hiLR
-  results: []
+license: bsd
+datasets:
+- pszemraj/qmsum-cleaned
+language:
+- en
+pipeline_tag: summarization
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# long-t5-tglobal-xl-qmsum-wip
 
-# summ-long-t5-tglobal-xl-qmsum-v1--16384-hiLR
-
-This model is a fine-tuned version of [pszemraj/long-t5-tglobal-xl-qmsum-v1](https://huggingface.co/pszemraj/long-t5-tglobal-xl-qmsum-v1) on the None dataset.
+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
 - Rouge1: 35.3881
@@ -57,11 +57,3 @@ 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    |
-
-
-### Framework versions
-
-- Transformers 4.29.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.12.0
-- Tokenizers 0.13.3