update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased-finetuned-sdg
+  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. -->
+
+# bert-base-uncased-finetuned-sdg
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3094
+- Acc: 0.9195
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3768        | 1.0   | 269  | 0.3758          | 0.8933 |
+| 0.2261        | 2.0   | 538  | 0.3088          | 0.9095 |
+| 0.1038        | 3.0   | 807  | 0.3094          | 0.9195 |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.0a0+8a1a93a
+- Datasets 2.5.2
+- Tokenizers 0.13.1