update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: subset_model_t5
+  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. -->
+
+# subset_model_t5
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2643
+- Rouge1: 0.3333
+- Rouge2: 0.15
+- Rougel: 0.3333
+- Rougelsum: 0.3333
+- Gen Len: 19.0
+
+## 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: 0.0002
+- 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   | 1    | 1.3402          | 0.3333 | 0.15   | 0.3333 | 0.3333    | 19.0    |
+| No log        | 2.0   | 2    | 1.3058          | 0.3333 | 0.15   | 0.3333 | 0.3333    | 19.0    |
+| No log        | 3.0   | 3    | 1.2792          | 0.3333 | 0.15   | 0.3333 | 0.3333    | 19.0    |
+| No log        | 4.0   | 4    | 1.2643          | 0.3333 | 0.15   | 0.3333 | 0.3333    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3