Add base info to readme

README.md

@@ -1,11 +1,20 @@
 ---
 library_name: transformers
-tags: []
+license: mit
+language:
+- en
+metrics:
+- bleu
+- code_eval
+- rouge
+- chrf
+model_name: MicroCoderFIM
+base_model: bigcode/starcoderbase-1b
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+This is a finetuned version of StarCoderBase 1B using the [Fill-in-the-Middle objective](https://arxiv.org/abs/2207.14255) on [dataset](https://huggingface.co/datasets/xvadov01/cpp_emb_nl2pl) focused on embedded systems programming.
 
 
 
@@ -18,12 +27,11 @@ tags: []
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
 - **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Model type:** Transformer decoder architecture with Multi-Query attention
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model [optional]:** [StarCoderBase 1B](https://huggingface.co/bigcode/starcoderbase-1b)
 
 ### Model Sources [optional]
 
@@ -144,11 +152,9 @@ Use the code below to get started with the model.
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+- **Hardware Type:** NVIDIA GeForce RTX 3090
+- **Hours used:** 5h 25m
+- **Carbon Emitted:** 0.83
 
 ## Technical Specifications [optional]