docs: add README.md

README.md

@@ -1,4 +1,6 @@
 ---
+# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/model-cards
 base_model:
 - HuggingFaceTB/SmolLM-135M-Instruct
 datasets: []
@@ -8,6 +10,7 @@ library_name: transformers
 metrics: []
 pipeline_tag: text-generation
 tags: []
+
 ---
 
 # Model Card for ldp72/Test-SmolLM-Marcel-codecarbon
@@ -31,7 +34,7 @@ This model was finetuned by performing instruct tuning on Telco domain datatsets
 - **Language(s) (NLP):** English
 - **License:** [More Information Needed]
 - **Finetuned from model [optional]:** HuggingFaceTB/SmolLM-135M-Instruct
-- **Date [optional]:** 2025-08-28 11:09:14
+- **Date [optional]:** 2025-08-28 16:18:47
 
 ### Model Sources [optional]
 
@@ -432,11 +435,11 @@ weight_decay: 0.1
 
 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:** CPUs: AMD EPYC 7282 16-Core Processor, INTEL(R) XEON(R) PLATINUM 8568Y+; GPUs: 1 x NVIDIA A100-PCIE-40GB, 1 x NVIDIA H100 80GB HBM3
-- **Hours used:** 0:09:10
+- **Hardware Type:** CPUs: AMD EPYC 7282 16-Core Processor; GPUs: 1 x NVIDIA A100-PCIE-40GB
+- **Hours used:** 0:10:44
 - **Cloud Provider:** [More Information Needed]
 - **Compute Region:** [More Information Needed]
-- **Carbon Emitted:**  0.00071 kg CO2eq, detailed emissions can be found in [`emissions.csv`](./emissions.csv) (emissions were computed using [`codecarbon`](https://codecarbon.io/))
+- **Carbon Emitted:**  0.00089 kg CO2eq, detailed emissions can be found in [`emissions.csv`](./emissions.csv) (emissions were computed using [`codecarbon`](https://codecarbon.io/))
 
 ## Technical Specifications [optional]