End of training

README.md

@@ -5,14 +5,14 @@ base_model: vinai/phobert-base
 tags:
 - generated_from_trainer
 model-index:
-- name: roberta-base-multilingual-sentiment
+- name: clapAI/roberta-base-multilingual-sentiment
   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. -->
 
-# roberta-base-multilingual-sentiment
+# clapAI/roberta-base-multilingual-sentiment
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
 It achieves the following results on the evaluation set:

all_results.json

@@ -1,31 +1,31 @@
 {
     "epoch": 0.9090909090909091,
     "eval_f1": 0.09432731429418081,
-    "eval_loss": 1.7236328125,
-    "eval_macro_f1": 0.06793650793650793,
-    "eval_macro_precision": 0.044564764681382756,
-    "eval_macro_recall": 0.14285714285714285,
-    "eval_micro_f1": 0.3119533527696793,
-    "eval_micro_precision": 0.3119533527696793,
-    "eval_micro_recall": 0.3119533527696793,
+    "eval_loss": 1.943359375,
+    "eval_macro_f1": 9.432731429418082,
+    "eval_macro_precision": 17.25200652415304,
+    "eval_macro_recall": 13.460980331549635,
+    "eval_micro_f1": 18.221574344023324,
+    "eval_micro_precision": 18.221574344023324,
+    "eval_micro_recall": 18.221574344023324,
     "eval_precision": 0.1725200652415304,
     "eval_recall": 0.13460980331549635,
-    "eval_runtime": 0.2804,
-    "eval_samples_per_second": 2446.863,
-    "eval_steps_per_second": 7.134,
+    "eval_runtime": 0.3109,
+    "eval_samples_per_second": 2206.376,
+    "eval_steps_per_second": 6.433,
     "test_f1": 0.10009022401776128,
-    "test_loss": 1.767578125,
-    "test_macro_f1": 0.06223798774588842,
-    "test_macro_precision": 0.03978561121418265,
-    "test_macro_recall": 0.14285714285714285,
-    "test_micro_f1": 0.2784992784992785,
-    "test_micro_precision": 0.2784992784992785,
-    "test_micro_recall": 0.2784992784992785,
+    "test_loss": 1.943359375,
+    "test_macro_f1": 10.009022401776129,
+    "test_macro_precision": 14.356813693219223,
+    "test_macro_recall": 14.150273929500775,
+    "test_micro_f1": 17.604617604617605,
+    "test_micro_precision": 17.604617604617605,
+    "test_micro_recall": 17.604617604617605,
     "test_precision": 0.14356813693219223,
     "test_recall": 0.14150273929500776,
-    "test_runtime": 0.2854,
-    "test_samples_per_second": 2428.484,
-    "test_steps_per_second": 7.009,
+    "test_runtime": 0.3027,
+    "test_samples_per_second": 2289.139,
+    "test_steps_per_second": 6.606,
     "train_loss": 1.94560546875,
     "train_runtime": 12.3942,
     "train_samples_per_second": 447.627,

eval_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 4.181818181818182,
-    "eval_loss": 1.7236328125,
-    "eval_macro_f1": 0.06793650793650793,
-    "eval_macro_precision": 0.044564764681382756,
-    "eval_macro_recall": 0.14285714285714285,
-    "eval_micro_f1": 0.3119533527696793,
-    "eval_micro_precision": 0.3119533527696793,
-    "eval_micro_recall": 0.3119533527696793,
-    "eval_runtime": 0.2804,
-    "eval_samples_per_second": 2446.863,
-    "eval_steps_per_second": 7.134
+    "epoch": 0.9090909090909091,
+    "eval_loss": 1.943359375,
+    "eval_macro_f1": 9.432731429418082,
+    "eval_macro_precision": 17.25200652415304,
+    "eval_macro_recall": 13.460980331549635,
+    "eval_micro_f1": 18.221574344023324,
+    "eval_micro_precision": 18.221574344023324,
+    "eval_micro_recall": 18.221574344023324,
+    "eval_runtime": 0.3109,
+    "eval_samples_per_second": 2206.376,
+    "eval_steps_per_second": 6.433
 }

runs/May08_07-01-21_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1746687731.hn-fornix-testing-gpu-platform-2.2627644.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4289931fcf04069793460d574408205af199ba0bf0dedd58483fc5b3205618c4
+size 682

test_results.json

@@ -1,12 +1,12 @@
 {
-    "test_loss": 1.767578125,
-    "test_macro_f1": 0.06223798774588842,
-    "test_macro_precision": 0.03978561121418265,
-    "test_macro_recall": 0.14285714285714285,
-    "test_micro_f1": 0.2784992784992785,
-    "test_micro_precision": 0.2784992784992785,
-    "test_micro_recall": 0.2784992784992785,
-    "test_runtime": 0.2854,
-    "test_samples_per_second": 2428.484,
-    "test_steps_per_second": 7.009
+    "test_loss": 1.943359375,
+    "test_macro_f1": 10.009022401776129,
+    "test_macro_precision": 14.356813693219223,
+    "test_macro_recall": 14.150273929500775,
+    "test_micro_f1": 17.604617604617605,
+    "test_micro_precision": 17.604617604617605,
+    "test_micro_recall": 17.604617604617605,
+    "test_runtime": 0.3027,
+    "test_samples_per_second": 2289.139,
+    "test_steps_per_second": 6.606
 }