Update README.md

README.md

@@ -48,7 +48,7 @@ Also, TeenyTinyLlama models were trained by leveraging [scaling laws](https://ar
 ## Details
 
 - **Architecture:** a Transformer-based model pre-trained via causal language modeling
-- **Size:** 162,417,408 million parameters
+- **Size:** 162,417,408 parameters
 - **Context length:** 2048 tokens
 - **Dataset:** [Portuguese-Corpus-v3](https://huggingface.co/datasets/nicholasKluge/portuguese-corpus-v3) (6.2B tokens)
 - **Language:** Portuguese
@@ -159,12 +159,12 @@ for i, completion in enumerate(completions):
 
 ## Evaluations
 
-| Steps   | Evaluation Loss | Perplexity | Total Energy Consumption | Emissions  |
-|---------|-----------------|------------|--------------------------|------------|
-| 100.000 | 3.19            | 24.52      | 3.75 kWh                 | 1.28 CO2eq |
-| 200.000 | 3.02            | 20.58      | 7.51 kWh                 | 2.56 CO2eq |
-| 300.000 | 2.83            | 16.98      | 11.25 kWh                | 3.84 CO2eq |
-| 400.000 | 2.79            | 16.41      | 14.52 kWh                | 5.11 CO2eq |
+| Steps   | Evaluation Loss | Perplexity | Total Energy Consumption | Emissions    |
+|---------|-----------------|------------|--------------------------|--------------|
+| 100.000 | 3.19            | 24.52      | 3.75 kWh                 | 1.28 KgCO2eq |
+| 200.000 | 3.02            | 20.58      | 7.51 kWh                 | 2.56 KgCO2eq |
+| 300.000 | 2.83            | 16.98      | 11.25 kWh                | 3.84 KgCO2eq |
+| 400.000 | 2.79            | 16.41      | 14.52 kWh                | 5.11 KgCO2eq |
 
 ## Benchmarks