End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.6826
-- Accuracy: 0.8044
-- F1: 0.5818
-- Precision: 0.6254
-- Recall: 0.5439
+- Loss: 0.5093
+- Accuracy: 0.8031
+- F1: 0.5690
+- Precision: 0.6284
+- Recall: 0.5198
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 8.0,
+    "eval_accuracy": 0.8031161473087819,
+    "eval_f1": 0.5689922480620154,
+    "eval_loss": 0.5092788338661194,
+    "eval_precision": 0.6284246575342466,
+    "eval_recall": 0.5198300283286119,
+    "eval_runtime": 10.9252,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 258.485,
+    "eval_steps_per_second": 4.119,
+    "train_loss": 0.3348430090351784,
+    "train_runtime": 1124.687,
+    "train_samples": 9881,
+    "train_samples_per_second": 878.556,
+    "train_steps_per_second": 27.474
+}

eval_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 8.0,
+    "eval_accuracy": 0.8031161473087819,
+    "eval_f1": 0.5689922480620154,
+    "eval_loss": 0.5092788338661194,
+    "eval_precision": 0.6284246575342466,
+    "eval_recall": 0.5198300283286119,
+    "eval_runtime": 10.9252,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 258.485,
+    "eval_steps_per_second": 4.119
+}

predict_results.txt

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