update model card README.md

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: gmra_model_gpt2_10082023T191709
+  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. -->
+
+# gmra_model_gpt2_10082023T191709
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5190
+- Accuracy: 0.9132
+
+## 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: 0.002
+- 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
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 124  | 0.5084          | 0.8423   |
+| No log        | 2.0   | 249  | 0.3607          | 0.8886   |
+| No log        | 3.0   | 373  | 0.4232          | 0.9062   |
+| No log        | 4.0   | 498  | 0.4970          | 0.9056   |
+| 0.367         | 4.98  | 620  | 0.5190          | 0.9132   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3