update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: Churchill-GPT
+  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. -->
+
+# Churchill-GPT
+
+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: 3.5078
+
+## 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: 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 16   | 3.4954          |
+| No log        | 2.0   | 32   | 3.4977          |
+| No log        | 3.0   | 48   | 3.5000          |
+| No log        | 4.0   | 64   | 3.5040          |
+| No log        | 5.0   | 80   | 3.5063          |
+| No log        | 6.0   | 96   | 3.5063          |
+| No log        | 7.0   | 112  | 3.5072          |
+| No log        | 8.0   | 128  | 3.5078          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.13.2