create model_card

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- summarization
+metrics:
+- rouge
+model-index:
+- name: arxiv27k-t5-abst-title-gen/
+  results: []
+---
+
+# arxiv27k-t5-abst-title-gen/
+
+This model is a fine-tuned version of mt5-small on the arxiv-abstract-title dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6002
+- Rouge1: 32.8
+- Rouge2: 21.9
+- Rougel: 34.8
+- 
+
+## Model description
+
+Model has been trained with a colab-pro notebook in 4 hours.
+
+## Intended uses & limitations
+
+Can be used for generating journal titles from given abstracts
+
+### Training args
+model_args = T5Args()
+model_args.max_seq_length = 256
+model_args.train_batch_size = 8
+model_args.eval_batch_size = 8
+model_args.num_train_epochs = 6
+model_args.evaluate_during_training = False
+model_args.use_multiprocessing = False
+model_args.fp16 = False
+model_args.save_steps = 40000
+model_args.save_eval_checkpoints = False
+model_args.save_model_every_epoch = True
+model_args.output_dir = OUTPUT_DIR
+model_args.no_cache = True
+model_args.reprocess_input_data = True
+model_args.overwrite_output_dir = True
+model_args.num_return_sequences = 1
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu111
+- Datasets 1.15.1
+- Tokenizers 0.10.3
+
+### Contact
+detasar@gmail.com
+Davut Emre Taşar