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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: resultsb
+  results: []
+---
+
+<!-- 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. -->
+
+# resultsb
+
+This model is a fine-tuned version of [bhumikak/resultsa](https://huggingface.co/bhumikak/resultsa) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8957
+- Rouge2 Precision: 0.2127
+- Rouge2 Recall: 0.2605
+- Rouge2 Fmeasure: 0.2167
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adafactor
+- lr_scheduler_type: linear
+- num_epochs: 50
+- label_smoothing_factor: 0.1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1