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: 0.7531
-- eval_accuracy: {'accuracy': 0.7142857142857143}
-- eval_f1score: {'f1': 0.6451576462237443}
-- eval_runtime: 1.1661
-- eval_samples_per_second: 108.049
-- eval_steps_per_second: 13.721
+- eval_loss: 0.7400
+- eval_accuracy: {'accuracy': 0.753968253968254}
+- eval_f1score: {'f1': 0.7292250233426704}
+- eval_runtime: 0.7627
+- eval_samples_per_second: 165.198
+- eval_steps_per_second: 20.978
 - step: 0
 
 ## Model description
@@ -39,14 +39,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 31
-- num_epochs: 5
+- lr_scheduler_warmup_steps: 43
+- num_epochs: 7
 
 ### Framework versions
 

model.safetensors

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training_args.bin

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