update model card README.md

README.md

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-Sample generation of Gcode via finetuned code. Work in progress. 
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: distilgpt2_fine_tuned_gcode
+  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. -->
+
+# distilgpt2_fine_tuned_gcode
+
+This model is a fine-tuned version of [congcongwang/distilgpt2_fine_tuned_coder](https://huggingface.co/congcongwang/distilgpt2_fine_tuned_coder) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1670
+
+## 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: 0.1
+- 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.1754        | 1.0   | 52144 | 4.1670          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1
+- Datasets 2.1.0
+- Tokenizers 0.10.3