End of training

README.md

@@ -1,10 +1,11 @@
 ---
 base_model: mistralai/Mistral-7B-v0.1
 datasets:
-- generator
+- Dataset-t-t-t-t-t-t-t-t/UltraMed
 library_name: peft
 license: apache-2.0
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # zephyr-7b-sft-qlora
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the Dataset-t-t-t-t-t-t-t-t/UltraMed dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1659
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 1.0,
+    "eval_loss": 0.1658700853586197,
+    "eval_runtime": 9.0723,
+    "eval_samples": 500,
+    "eval_samples_per_second": 9.7,
+    "eval_steps_per_second": 0.331,
     "total_flos": 3.768774247149732e+17,
     "train_loss": 0.5603564016854585,
     "train_runtime": 1424.9095,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 0.265343793262575,
-    "eval_loss": 0.2863554060459137,
-    "eval_runtime": 9.1878,
+    "epoch": 1.0,
+    "eval_loss": 0.1658700853586197,
+    "eval_runtime": 9.0723,
     "eval_samples": 500,
-    "eval_samples_per_second": 9.578,
-    "eval_steps_per_second": 0.327
+    "eval_samples_per_second": 9.7,
+    "eval_steps_per_second": 0.331
 }

runs/Oct07_20-06-10_dilara/events.out.tfevents.1728333263.dilara.984420.1

@@ -0,0 +1,3 @@
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+oid sha256:5aefddb0b8ab1390047e30e6dfc126e5168542011c462defa0904841ef92c4bd
+size 359