Update README.md

README.md

@@ -25,7 +25,7 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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-# long-t5-tglobal-xl-16384-book-summary-scientific_lay_summarisation-plos-norm-16384-summ-v1
+# long-t5-tglobal-xl-16384-booksci-summary-plos-10k
 
 This model is a fine-tuned version of [pszemraj/long-t5-tglobal-xl-16384-book-summary](https://huggingface.co/pszemraj/long-t5-tglobal-xl-16384-book-summary) on the pszemraj/scientific_lay_summarisation-plos-norm dataset.
 It achieves the following results on the evaluation set:
@@ -38,7 +38,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Another test of further fine-tuning booksum-based models, this one fine-tuned on the PLOS subset of lay-summaries for about 10k examples input, to make it roughly equivalent to [this checkpoint](https://huggingface.co/pszemraj/long-t5-tglobal-xl-16384-booksci-summary-v1) fine-tuned on the ELIFE subset for two epochs (also around 10k examples).
 
 ## Intended uses & limitations
 
@@ -72,10 +72,3 @@ The following hyperparameters were used during training:
 | 1.9307        | 0.56  | 700  | 1.5102          | 44.1634 | 10.9336 | 22.3896 | 40.2939   | 253.58  |
 | 1.2981        | 0.84  | 1050 | 1.5046          | 44.2728 | 10.8455 | 22.4122 | 40.3019   | 261.29  |
 
-
-### Framework versions
-
-- Transformers 4.29.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.12.0
-- Tokenizers 0.13.3