Model save

README.md

@@ -7,18 +7,18 @@ tags:
 - lora
 - generated_from_trainer
 model-index:
-- name: Phi-4-mini-instruct_sft_sg_values
+- name: Phi-4-mini-instruct_sft_sg_values_resp_split
   results: []
 ---
 
 <!-- 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. -->
 
-# Phi-4-mini-instruct_sft_sg_values
+# Phi-4-mini-instruct_sft_sg_values_resp_split
 
-This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on the sft_sg_values dataset.
+This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3848
+- Loss: 2.3345
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 4.3614        | 0.1869 | 250  | 4.1655          |
-| 3.3914        | 0.3738 | 500  | 3.1697          |
-| 2.684         | 0.5607 | 750  | 2.6262          |
-| 2.5099        | 0.7477 | 1000 | 2.4442          |
-| 2.3706        | 0.9346 | 1250 | 2.3880          |
+| 4.3698        | 0.1710 | 250  | 4.1731          |
+| 3.5096        | 0.3419 | 500  | 3.1497          |
+| 2.6213        | 0.5129 | 750  | 2.5736          |
+| 2.4305        | 0.6839 | 1000 | 2.3980          |
+| 2.3653        | 0.8548 | 1250 | 2.3345          |
 
 
 ### Framework versions