update model card README.md

joke-explaination/README.md

@@ -0,0 +1,61 @@
+---
+tags:
+- explaination
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: joke-explaination
+  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. -->
+
+# joke-explaination
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7611
+- Bleu: 1.513
+- Gen Len: 51.9737
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu  | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|:-------:|
+| No log        | 1.0   | 38   | 2.8307          | 0.843 | 41.6447 |
+| No log        | 2.0   | 76   | 2.7611          | 1.513 | 51.9737 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2