Update README.md

README.md

@@ -3,7 +3,7 @@ library_name: peft
 tags:
 - code
 - instruct
-- llama2
+- mistral
 datasets:
 - HuggingFaceH4/no_robots
 base_model: mistralai/Mistral-7B-v0.1
@@ -25,14 +25,14 @@ license: apache-2.0
 With the utilization of [MonsterAPI](https://monsterapi.ai)'s [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm), this finetuning:
 
 - Was achieved with great cost-effectiveness.
-- Completed in a total duration of 36mins 27secs for 1 epoch using an A6000 48GB GPU.
-- Costed `$1.212` for the entire epoch.
+- Completed in a total duration of 1h 15m 3s for 2 epochs using an A6000 48GB GPU.
+- Costed `$2.525` for the entire epoch.
 
 #### Hyperparameters & Additional Details:
 
 - **Epochs:** 2
-- **Cost Per Epoch:** $1.212
-- **Total Finetuning Cost:** $1.212
+- **Cost Per Epoch:** $1.26
+- **Total Finetuning Cost:** $2.525
 - **Model Path:** mistralai/Mistral-7B-v0.1
 - **Learning Rate:** 0.0002
 - **Data Split:** 100% train 
@@ -46,6 +46,6 @@ With the utilization of [MonsterAPI](https://monsterapi.ai)'s [LLM finetuner](ht
 ```
 #### Train loss :
 
-![eval loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/WDbw92-Vmuc7QttRHvJU6.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/Badi_wgZLBsUdeIScEKs9.png)
 
 license: apache-2.0