update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: olm-bert-tiny-december-2022-target-glue-rte
+  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. -->
+
+# olm-bert-tiny-december-2022-target-glue-rte
+
+This model is a fine-tuned version of [muhtasham/olm-bert-tiny-december-2022](https://huggingface.co/muhtasham/olm-bert-tiny-december-2022) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3103
+- Accuracy: 0.5235
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6883        | 6.41  | 500  | 0.6919          | 0.5523   |
+| 0.5979        | 12.82 | 1000 | 0.8002          | 0.5271   |
+| 0.4213        | 19.23 | 1500 | 1.0720          | 0.5090   |
+| 0.2839        | 25.64 | 2000 | 1.3103          | 0.5235   |
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.1.dev0
+- Tokenizers 0.13.2