End of training

README.md

@@ -3,6 +3,9 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
 model-index:
 - name: dutch_genre_classifier
   results: []
@@ -14,6 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 # dutch_genre_classifier
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1404
+- Precision: 0.9713
+- Recall: 0.9707
+- Fscore: 0.9707
 
 ## Model description
 

all_results.json

@@ -4,13 +4,13 @@
     "eval_loss": 0.14040668308734894,
     "eval_precision": 0.971255206348869,
     "eval_recall": 0.9707142857142858,
-    "eval_runtime": 9.1586,
+    "eval_runtime": 9.0673,
     "eval_samples": 1400,
-    "eval_samples_per_second": 152.862,
-    "eval_steps_per_second": 19.108,
+    "eval_samples_per_second": 154.4,
+    "eval_steps_per_second": 19.3,
     "train_loss": 0.23042542536496113,
-    "train_runtime": 543.7059,
+    "train_runtime": 558.2225,
     "train_samples": 11415,
-    "train_samples_per_second": 41.99,
-    "train_steps_per_second": 2.623
+    "train_samples_per_second": 40.898,
+    "train_steps_per_second": 2.555
 }

eval_results.json

@@ -4,8 +4,8 @@
     "eval_loss": 0.14040668308734894,
     "eval_precision": 0.971255206348869,
     "eval_recall": 0.9707142857142858,
-    "eval_runtime": 9.1586,
+    "eval_runtime": 9.0673,
     "eval_samples": 1400,
-    "eval_samples_per_second": 152.862,
-    "eval_steps_per_second": 19.108
+    "eval_samples_per_second": 154.4,
+    "eval_steps_per_second": 19.3
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.0,
     "train_loss": 0.23042542536496113,
-    "train_runtime": 543.7059,
+    "train_runtime": 558.2225,
     "train_samples": 11415,
-    "train_samples_per_second": 41.99,
-    "train_steps_per_second": 2.623
+    "train_samples_per_second": 40.898,
+    "train_steps_per_second": 2.555
 }

trainer_state.json

@@ -25,9 +25,9 @@
       "step": 1426,
       "total_flos": 6003148215168000.0,
       "train_loss": 0.23042542536496113,
-      "train_runtime": 543.7059,
-      "train_samples_per_second": 41.99,
-      "train_steps_per_second": 2.623
+      "train_runtime": 558.2225,
+      "train_samples_per_second": 40.898,
+      "train_steps_per_second": 2.555
     }
   ],
   "logging_steps": 500,