Create README.md

README.md

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+---
+language: 
+- en
+thumbnail: 
+tags:
+- pytorch
+- google/pegasus-reddit_tifu
+- summarization
+- samsum
+license: 
+datasets:
+- samsum
+metrics:
+- rouge
+---
+
+# Samsum Pegasus (Reddit/TIFU) for conversational summaries
+
+## Model description
+
+Pegasus (Reddit/TIFU) for conversational summaries trained on the samsum dataset!
+
+## Training data
+
+The data is the [samsum](https://huggingface.co/datasets/samsum) dataset for conversional summaries.
+
+The initial weigths were from the [google/pegasus-reddit_tifu](https://huggingface.co/google/pegasus-reddit_tifu). The hypothesis being that it would help the convergence on the samsum dataset to have weights trained on a larger summarization dataset first like the Reddit TIFU using casual language.
+
+## Training procedure
+
+Used the _example/seq2seq/run_summarization.py_ script from the transformers source _4.5.0dev0_.
+
+  n_epochs: 3,\
+  batch_size: 4, \
+  max_source_length: 512,\
+  max_target_length: 128
+
+## Eval results
+
+  eval_gen_len: 35.89,\
+  eval_loss: 1.3807392120361328,\
+  eval_rouge1: 47.3372,\
+  eval_rouge2: 24.4728,\
+  eval_rougeL: 37.9078,\
+  eval_rougeLsum: 43.5744,\
+  eval_samples_per_second: 2.814