update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: TH_mt5-base_spider
+  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. -->
+
+# TH_mt5-base_spider
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5610
+- Rouge2 Precision: 0.0324
+- Rouge2 Recall: 0.0315
+- Rouge2 Fmeasure: 0.0309
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 438  | 0.9649          | 0.0019           | 0.0019        | 0.0019          |
+| 7.2087        | 2.0   | 876  | 0.6476          | 0.0203           | 0.0171        | 0.0179          |
+| 0.94          | 3.0   | 1314 | 0.5898          | 0.0305           | 0.027         | 0.028           |
+| 0.7387        | 4.0   | 1752 | 0.5669          | 0.0311           | 0.0283        | 0.029           |
+| 0.6698        | 5.0   | 2190 | 0.5610          | 0.0324           | 0.0315        | 0.0309          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.7.dev0
+- Tokenizers 0.13.3