End of training

README.md

@@ -110,7 +110,9 @@ tokens: # these are delimiters
 [<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/ritualnah/ppml/runs/3q9smy0v)
 # answer-emojis
 
-This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5239
 
 ## Model description
 
@@ -140,6 +142,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 10
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0155        | 0.0082 | 1    | 1.2302          |
+| 0.5161        | 0.5031 | 61   | 0.5744          |
+| 0.5398        | 1.0062 | 122  | 0.5379          |
+| 0.4614        | 1.4990 | 183  | 0.5295          |
+| 0.4323        | 2.0021 | 244  | 0.5178          |
+| 0.3823        | 2.4948 | 305  | 0.5239          |
+
+
 ### Framework versions
 
 - PEFT 0.11.1

adapter_model.bin

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