End of training

README.md

@@ -2,7 +2,7 @@
 tags:
 - generated_from_trainer
 datasets:
-- coco_dataset_script
+- ydshieh/coco_dataset_script
 model-index:
 - name: clip-roberta-finetuned
   results: []
@@ -13,7 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clip-roberta-finetuned
 
-This model was trained from scratch on the coco_dataset_script dataset.
+This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5810
 
 ## Model description
 

all_results.json

@@ -1,11 +1,11 @@
 {
     "epoch": 3.0,
-    "eval_loss": 1.5789210796356201,
-    "eval_runtime": 43.7782,
-    "eval_samples_per_second": 571.381,
-    "eval_steps_per_second": 2.239,
-    "train_loss": 0.32176698312902396,
-    "train_runtime": 5235.8231,
-    "train_samples_per_second": 339.06,
-    "train_steps_per_second": 1.325
+    "eval_loss": 1.5809910297393799,
+    "eval_runtime": 43.7306,
+    "eval_samples_per_second": 572.002,
+    "eval_steps_per_second": 2.241,
+    "train_loss": 0.3064197311489365,
+    "train_runtime": 5244.4956,
+    "train_samples_per_second": 338.499,
+    "train_steps_per_second": 1.323
 }

eval_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 3.0,
-    "eval_loss": 1.5789210796356201,
-    "eval_runtime": 43.7782,
-    "eval_samples_per_second": 571.381,
-    "eval_steps_per_second": 2.239
+    "eval_loss": 1.5809910297393799,
+    "eval_runtime": 43.7306,
+    "eval_samples_per_second": 572.002,
+    "eval_steps_per_second": 2.241
 }

runs/Feb09_01-29-57_b1709baefb46/events.out.tfevents.1707447554.b1709baefb46.17098.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94644d314d98529e092ba1d28dbb6c05d8393baa15019e6639f76c95c5fbbe32
+size 359

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 3.0,
-    "train_loss": 0.32176698312902396,
-    "train_runtime": 5235.8231,
-    "train_samples_per_second": 339.06,
-    "train_steps_per_second": 1.325
+    "train_loss": 0.3064197311489365,
+    "train_runtime": 5244.4956,
+    "train_samples_per_second": 338.499,
+    "train_steps_per_second": 1.323
 }

trainer_state.json

@@ -11,89 +11,89 @@
     {
       "epoch": 0.22,
       "learning_rate": 4.639561707035756e-05,
-      "loss": 1.0025,
+      "loss": 0.8105,
       "step": 500
     },
     {
       "epoch": 0.43,
       "learning_rate": 4.2791234140715114e-05,
-      "loss": 0.518,
+      "loss": 0.5111,
       "step": 1000
     },
     {
       "epoch": 0.65,
       "learning_rate": 3.9186851211072664e-05,
-      "loss": 0.4347,
+      "loss": 0.4297,
       "step": 1500
     },
     {
       "epoch": 0.87,
       "learning_rate": 3.558246828143022e-05,
-      "loss": 0.3828,
+      "loss": 0.3814,
       "step": 2000
     },
     {
       "epoch": 1.08,
       "learning_rate": 3.1978085351787776e-05,
-      "loss": 0.3254,
+      "loss": 0.3232,
       "step": 2500
     },
     {
       "epoch": 1.3,
       "learning_rate": 2.8373702422145332e-05,
-      "loss": 0.2748,
+      "loss": 0.2746,
       "step": 3000
     },
     {
       "epoch": 1.51,
       "learning_rate": 2.4769319492502884e-05,
-      "loss": 0.2603,
+      "loss": 0.2602,
       "step": 3500
     },
     {
       "epoch": 1.73,
       "learning_rate": 2.116493656286044e-05,
-      "loss": 0.2409,
+      "loss": 0.239,
       "step": 4000
     },
     {
       "epoch": 1.95,
       "learning_rate": 1.7560553633217993e-05,
-      "loss": 0.2283,
+      "loss": 0.2268,
       "step": 4500
     },
     {
       "epoch": 2.16,
       "learning_rate": 1.395617070357555e-05,
-      "loss": 0.1851,
+      "loss": 0.1843,
       "step": 5000
     },
     {
       "epoch": 2.38,
       "learning_rate": 1.0351787773933102e-05,
-      "loss": 0.1683,
+      "loss": 0.1678,
       "step": 5500
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     {
       "epoch": 2.6,
       "learning_rate": 6.747404844290659e-06,
-      "loss": 0.159,
+      "loss": 0.1586,
       "step": 6000
     },
     {
       "epoch": 2.81,
       "learning_rate": 3.143021914648212e-06,
-      "loss": 0.1536,
+      "loss": 0.1531,
       "step": 6500
     },
     {
       "epoch": 3.0,
       "step": 6936,
       "total_flos": 2.370754172808069e+17,
-      "train_loss": 0.32176698312902396,
-      "train_runtime": 5235.8231,
-      "train_samples_per_second": 339.06,
-      "train_steps_per_second": 1.325
+      "train_loss": 0.3064197311489365,
+      "train_runtime": 5244.4956,
+      "train_samples_per_second": 338.499,
+      "train_steps_per_second": 1.323
     }
   ],
   "logging_steps": 500,