End of training

README.md

@@ -17,9 +17,9 @@ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co
 It achieves the following results on the evaluation set:
 - eval_loss: 0.0761
 - eval_accuracy: 0.9737
-- eval_runtime: 1.296
-- eval_samples_per_second: 58.641
-- eval_steps_per_second: 7.716
+- eval_runtime: 0.9482
+- eval_samples_per_second: 80.148
+- eval_steps_per_second: 10.546
 - epoch: 3.12
 - step: 150
 

runs/Jan15_11-57-32_7bb528683dec/events.out.tfevents.1705319857.7bb528683dec.784.1

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+size 6911

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:c7f379cb45fae6210f3c9652645b9ebb1d70dde68bd17177f5f86fc00823865a
+size 4664