update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: problem2-test
+  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. -->
+
+# problem2-test
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.2281
+- Accuracy: 0.5574
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.9   | 7    | 6.2748          | 0.0      |
+| 7.4671        | 1.9   | 14   | 5.1777          | 0.5738   |
+| 5.3033        | 2.9   | 21   | 4.4616          | 0.5902   |
+| 5.3033        | 3.9   | 28   | 5.1811          | 0.5246   |
+| 4.1105        | 4.9   | 35   | 4.2281          | 0.5574   |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1
+- Datasets 2.6.0
+- Tokenizers 0.13.1