Create README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-multi
+  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-multi
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.6627
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8011        | 1.0   | 6    | 3.8540          |
+| 1.6433        | 2.0   | 12   | 4.4045          |
+| 1.4762        | 3.0   | 18   | 4.2463          |
+| 1.3941        | 4.0   | 24   | 4.9549          |
+| 1.3447        | 5.0   | 30   | 5.3510          |
+| 1.337         | 6.0   | 36   | 4.9287          |
+| 1.36          | 7.0   | 42   | 5.3027          |
+| 1.0973        | 8.0   | 48   | 5.2258          |
+| 1.0005        | 9.0   | 54   | 5.7433          |
+| 0.9298        | 10.0  | 60   | 5.5088          |
+| 1.0995        | 11.0  | 66   | 5.5535          |
+| 1.0031        | 12.0  | 72   | 5.6627          |
+
+
+### Framework versions
+
+- Transformers 4.27.2
+- Pytorch 2.0.0+cu117
+- Datasets 2.10.1
+- Tokenizers 0.13.2