update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: qm_sum_t5-base
+  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. -->
+
+# qm_sum_t5-base
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2091
+- Rouge1: 0.2135
+- Rouge2: 0.0626
+- Rougel: 0.1688
+- Rougelsum: 0.1689
+- 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: 5e-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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 79   | 3.2969          | 0.2065 | 0.0591 | 0.1623 | 0.1621    | 18.9926 |
+| No log        | 2.0   | 158  | 3.2175          | 0.2173 | 0.067  | 0.1725 | 0.1725    | 19.0    |
+| No log        | 3.0   | 237  | 3.1909          | 0.2149 | 0.064  | 0.1716 | 0.1718    | 19.0    |
+| No log        | 4.0   | 316  | 3.2091          | 0.2135 | 0.0626 | 0.1688 | 0.1689    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3