update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: codet5-base-Generate_Docstrings_for_Python-Condensed
+  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. -->
+
+# codet5-base-Generate_Docstrings_for_Python-Condensed
+
+This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6199
+- Rouge1: 0.5017
+- Rouge2: 0.374
+- Rougel: 0.4866
+- Rougelsum: 0.4864
+- Gen Len: 13.8909
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.8261        | 1.0   | 921  | 0.6435          | 0.4947 | 0.3661 | 0.4794 | 0.4791    | 13.7526 |
+| 0.6234        | 2.0   | 1842 | 0.6199          | 0.5017 | 0.374  | 0.4866 | 0.4864    | 13.8909 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.13.3