End of training

README.md

@@ -14,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.5364
-- eval_accuracy: {'accuracy': 0.8045112781954887}
-- eval_f1score: {'f1': 0.7918628191903089}
-- eval_runtime: 4.438
-- eval_samples_per_second: 29.968
-- eval_steps_per_second: 3.831
+- eval_loss: 0.5551
+- eval_accuracy: {'accuracy': 0.8993288590604027}
+- eval_f1score: {'f1': 0.8937713028136993}
+- eval_runtime: 6.5435
+- eval_samples_per_second: 22.771
+- eval_steps_per_second: 2.904
 - step: 0
 
 ## Model description
@@ -45,12 +45,12 @@ 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: 132
+- lr_scheduler_warmup_steps: 222
 - num_epochs: 10
 
 ### Framework versions
 
 - Transformers 4.41.2
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.2
+- Datasets 2.20.0
 - Tokenizers 0.19.1

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training_args.bin

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