End of training

README.md

@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [patrickxchong/bert-tiny-bahasa-cased-sentiment](https://huggingface.co/patrickxchong/bert-tiny-bahasa-cased-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3414
-- eval_accuracy: {'accuracy': 0.8703350585671479}
-- eval_f1score: {'f1': 0.8701780845577953}
-- eval_runtime: 37.4766
-- eval_samples_per_second: 195.909
-- eval_steps_per_second: 24.495
+- eval_loss: 0.5811
+- eval_accuracy: {'accuracy': 0.8137254901960784}
+- eval_f1score: {'f1': 0.8133969637237611}
+- eval_runtime: 9.5006
+- eval_samples_per_second: 96.625
+- eval_steps_per_second: 12.104
 - step: 0
 
 ## Model description
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 5139
+- lr_scheduler_warmup_steps: 642
 - num_epochs: 7
 
 ### Framework versions

model.safetensors

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training_args.bin

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