update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-enterpret-finetuned
+  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. -->
+
+# t5-small-enterpret-finetuned
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3499
+- Rouge1: 0.3212
+- Rouge2: 0.1859
+- Rougel: 0.2925
+- Rougelsum: 0.2931
+- Gen Len: 18.4938
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 242  | 2.6522          | 0.2714 | 0.1292 | 0.2426 | 0.2432    | 18.0289 |
+| No log        | 2.0   | 484  | 2.4516          | 0.3076 | 0.1712 | 0.2799 | 0.2804    | 18.4618 |
+| 2.9667        | 3.0   | 726  | 2.3734          | 0.3172 | 0.1827 | 0.2891 | 0.2897    | 18.4659 |
+| 2.9667        | 4.0   | 968  | 2.3499          | 0.3212 | 0.1859 | 0.2925 | 0.2931    | 18.4938 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3