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: 0.6841
-- eval_accuracy: {'accuracy': 0.7583892617449665}
-- eval_f1score: {'f1': 0.7244193990918056}
-- eval_runtime: 10.9573
-- eval_samples_per_second: 13.598
-- eval_steps_per_second: 1.734
+- eval_loss: 0.9431
+- eval_accuracy: {'accuracy': 0.7785234899328859}
+- eval_f1score: {'f1': 0.7568530991349783}
+- eval_runtime: 4.9915
+- eval_samples_per_second: 29.851
+- eval_steps_per_second: 3.806
 - step: 0
 
 ## Model description
@@ -45,7 +45,7 @@ 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: 222
+- lr_scheduler_warmup_steps: 148
 - num_epochs: 10
 
 ### Framework versions

model.safetensors

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runs/Jun28_01-19-47_d92b7fda5af7/events.out.tfevents.1719537596.d92b7fda5af7.257.4

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runs/Jun28_01-19-47_d92b7fda5af7/events.out.tfevents.1719538135.d92b7fda5af7.257.5

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training_args.bin

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