Model save

README.md

@@ -27,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ahmed-alhammadi-technology-innovation-institute/huggingface/runs/8yuu3q5i)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ahmed-alhammadi-technology-innovation-institute/huggingface/runs/mxya1yqu)
 
 This model was trained with SFT.
 

all_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 1.0,
     "total_flos": 2783887138750464.0,
-    "train_loss": 1.8076151853584381,
-    "train_runtime": 66.5306,
+    "train_loss": 0.0,
+    "train_runtime": 2.3357,
     "train_samples": 12593,
-    "train_samples_per_second": 159.686,
-    "train_steps_per_second": 2.495
+    "train_samples_per_second": 4548.495,
+    "train_steps_per_second": 71.07
 }

train_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 1.0,
     "total_flos": 2783887138750464.0,
-    "train_loss": 1.8076151853584381,
-    "train_runtime": 66.5306,
+    "train_loss": 0.0,
+    "train_runtime": 2.3357,
     "train_samples": 12593,
-    "train_samples_per_second": 159.686,
-    "train_steps_per_second": 2.495
+    "train_samples_per_second": 4548.495,
+    "train_steps_per_second": 71.07
 }

trainer_state.json

@@ -250,10 +250,10 @@
       "epoch": 1.0,
       "step": 166,
       "total_flos": 2783887138750464.0,
-      "train_loss": 1.8076151853584381,
-      "train_runtime": 66.5306,
-      "train_samples_per_second": 159.686,
-      "train_steps_per_second": 2.495
+      "train_loss": 0.0,
+      "train_runtime": 2.3357,
+      "train_samples_per_second": 4548.495,
+      "train_steps_per_second": 71.07
     }
   ],
   "logging_steps": 5,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:46bce855b0b8fda41a2ac9d1e89f662f8683d9ee6c13b4dfc8a8622f52b2f547
 size 5752