End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9421
-- F1: 0.8613
+- Loss: 0.9300
+- F1: 0.8616
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 10.0,
+    "eval_f1": 0.8615721366809934,
+    "eval_loss": 0.9300327301025391,
+    "eval_runtime": 2.6874,
+    "eval_samples": 1200,
+    "eval_samples_per_second": 446.524,
+    "eval_steps_per_second": 7.07,
+    "train_loss": 0.2016566672197012,
+    "train_runtime": 574.5493,
+    "train_samples": 6800,
+    "train_samples_per_second": 118.354,
+    "train_steps_per_second": 1.862
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 10.0,
+    "eval_f1": 0.8615721366809934,
+    "eval_loss": 0.9300327301025391,
+    "eval_runtime": 2.6874,
+    "eval_samples": 1200,
+    "eval_samples_per_second": 446.524,
+    "eval_steps_per_second": 7.07
+}

predict_results.txt

@@ -0,0 +1,2718 @@
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