Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: cc-by-nc-4.0
-base_model: TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly
+base_model: TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial
 tags:
 - generated_from_trainer
 model-index:
@@ -14,17 +14,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # RALL_RGBCROP_5e6-poly_test_eval
 
-This model is a fine-tuned version of [TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly](https://huggingface.co/TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly) on an unknown dataset.
+This model is a fine-tuned version of [TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial](https://huggingface.co/TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4062
+- eval_loss: 0.5478
 - eval_model_preparation_time: 0.0029
-- eval_accuracy: 0.7912
-- eval_precision: 0.7924
-- eval_recall: 0.7912
-- eval_f1: 0.7909
-- eval_runtime: 114.1708
-- eval_samples_per_second: 4.362
-- eval_steps_per_second: 0.552
+- eval_accuracy: 0.8635
+- eval_precision: 0.8640
+- eval_recall: 0.8635
+- eval_f1: 0.8634
+- eval_runtime: 111.697
+- eval_samples_per_second: 4.458
+- eval_steps_per_second: 0.564
 - step: 0
 
 ## Model description

all_results.json

@@ -1,8 +1,11 @@
 {
-    "eval_accuracy": 0.5555555555555556,
-    "eval_loss": 0.5725845694541931,
-    "eval_model_preparation_time": 0.0028,
-    "eval_runtime": 10.5672,
-    "eval_samples_per_second": 3.407,
-    "eval_steps_per_second": 0.473
+    "eval_accuracy": 0.7911646586345381,
+    "eval_f1": 0.7909488673975168,
+    "eval_loss": 0.40618816018104553,
+    "eval_model_preparation_time": 0.0029,
+    "eval_precision": 0.7923718519718196,
+    "eval_recall": 0.7911646586345381,
+    "eval_runtime": 112.0785,
+    "eval_samples_per_second": 4.443,
+    "eval_steps_per_second": 0.562
 }

model.safetensors

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 size 344937328

runs/Jun09_02-20-56_217fe6ac89d5/events.out.tfevents.1749436205.217fe6ac89d5.319.2

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+oid sha256:9d02a05c28eed3ceba491a6382b3a23674631f4452d3575ee5381a4dc858d628
+size 1010

runs/Jun09_02-33-06_217fe6ac89d5/events.out.tfevents.1749436507.217fe6ac89d5.319.3

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test_results.json

@@ -1,8 +1,11 @@
 {
-    "eval_accuracy": 0.5555555555555556,
-    "eval_loss": 0.5725845694541931,
-    "eval_model_preparation_time": 0.0028,
-    "eval_runtime": 10.5672,
-    "eval_samples_per_second": 3.407,
-    "eval_steps_per_second": 0.473
+    "eval_accuracy": 0.7911646586345381,
+    "eval_f1": 0.7909488673975168,
+    "eval_loss": 0.40618816018104553,
+    "eval_model_preparation_time": 0.0029,
+    "eval_precision": 0.7923718519718196,
+    "eval_recall": 0.7911646586345381,
+    "eval_runtime": 112.0785,
+    "eval_samples_per_second": 4.443,
+    "eval_steps_per_second": 0.562
 }

trainer_state.json

@@ -10,21 +10,27 @@
   "is_world_process_zero": true,
   "log_history": [
     {
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-      "eval_loss": 0.5725846886634827,
-      "eval_model_preparation_time": 0.0028,
-      "eval_runtime": 42.0944,
-      "eval_samples_per_second": 0.855,
-      "eval_steps_per_second": 0.119,
+      "eval_accuracy": 0.7911646586345381,
+      "eval_f1": 0.7909488673975168,
+      "eval_loss": 0.40618816018104553,
+      "eval_model_preparation_time": 0.0029,
+      "eval_precision": 0.7923718519718196,
+      "eval_recall": 0.7911646586345381,
+      "eval_runtime": 114.1708,
+      "eval_samples_per_second": 4.362,
+      "eval_steps_per_second": 0.552,
       "step": 0
     },
     {
-      "eval_accuracy": 0.5555555555555556,
-      "eval_loss": 0.5725845694541931,
-      "eval_model_preparation_time": 0.0028,
-      "eval_runtime": 10.5672,
-      "eval_samples_per_second": 3.407,
-      "eval_steps_per_second": 0.473,
+      "eval_accuracy": 0.7911646586345381,
+      "eval_f1": 0.7909488673975168,
+      "eval_loss": 0.40618816018104553,
+      "eval_model_preparation_time": 0.0029,
+      "eval_precision": 0.7923718519718196,
+      "eval_recall": 0.7911646586345381,
+      "eval_runtime": 112.0785,
+      "eval_samples_per_second": 4.443,
+      "eval_steps_per_second": 0.562,
       "step": 0
     }
   ],

training_args.bin

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