End of training

README.md

@@ -14,12 +14,12 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/224n_connections/runs/oyslrfme)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/224n_connections/runs/wrx6j34c)
 # mistral-7b-instruct-connections
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3792
+- Loss: 0.2301
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.9855 | 17   | 0.3916          |
-| 0.6321        | 1.9710 | 34   | 0.4953          |
-| 0.3215        | 2.9565 | 51   | 0.3792          |
+| No log        | 0.9855 | 17   | 0.2449          |
+| 0.4557        | 1.9710 | 34   | 0.2245          |
+| 0.1947        | 2.9565 | 51   | 0.2301          |
 
 
 ### Framework versions