update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-finetuned-yannic-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. -->
+
+# gpt2-finetuned-yannic-test
+
+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: 3.3803
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.5406        | 1.0   | 503  | 3.4633          |
+| 3.4091        | 2.0   | 1006 | 3.4278          |
+| 3.3505        | 3.0   | 1509 | 3.4075          |
+| 3.3088        | 4.0   | 2012 | 3.3954          |
+| 3.281         | 5.0   | 2515 | 3.3892          |
+| 3.2616        | 6.0   | 3018 | 3.3846          |
+| 3.2434        | 7.0   | 3521 | 3.3815          |
+| 3.2357        | 8.0   | 4024 | 3.3803          |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.0
+- Tokenizers 0.13.2