docs: update README.md

README.md

@@ -6,20 +6,29 @@ tags:
 model-index:
 - name: GPT2-124M-wikitext-v0.1
   results: []
+datasets:
+- wikitext
+pipeline_tag: text-generation
+co2_eq_emissions:
+  emissions: 500
+  training_type: "fine-tuning"
+  source: "mlco2"
+  geographical_location: "Bucharest, Romania"
+  hardware_used: "1 x RTX 4090 GPU"
 ---
 
 <!-- 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. -->
 
-# GPT2-124M-wikitext-v0.1
+# 🧠 GPT2-124M-wikitext-v0.1
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [wikitext](https://huggingface.co/datasets/wikitext).
 It achieves the following results on the evaluation set:
 - Loss: 2.9841
 
 ## Model description
 
-More information needed
+This is a practical hands-on experience for better understanding 🤗 Transformers and 🤗 Datasets. This model is GPT2(124M) fine-tuned on wikitext(103-raw-v1) on 1 x RTX 4090.
 
 ## Intended uses & limitations
 
@@ -56,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0