End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: airesearch/wangchanberta-base-att-spm-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -13,14 +12,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fined-tune-thai-sentiment
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+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: 0.8230
-- eval_accuracy: {'accuracy': 0.6904761904761905}
-- eval_f1score: {'f1': 0.5717269740966423}
-- eval_runtime: 2.733
-- eval_samples_per_second: 46.104
-- eval_steps_per_second: 5.854
+- 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
 - step: 0
 
 ## Model description
@@ -40,12 +39,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-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
 
 ### Framework versions

model.safetensors

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training_args.bin

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