End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: airesearch/wangchanberta-base-att-spm-uncased
+base_model: 3728km/fined-tune-thai-sentiment
 tags:
 - generated_from_trainer
 model-index:
@@ -12,14 +12,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fined-tune-thai-sentiment
 
-This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
+This model is a fine-tuned version of [3728km/fined-tune-thai-sentiment](https://huggingface.co/3728km/fined-tune-thai-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3304
-- eval_accuracy: {'accuracy': 0.8993288590604027}
-- eval_f1score: {'f1': 0.892047439551347}
-- eval_runtime: 4.7974
-- eval_samples_per_second: 31.058
-- eval_steps_per_second: 3.96
+- eval_loss: 0.3314
+- eval_accuracy: {'accuracy': 0.95625}
+- eval_f1score: {'f1': 0.9563500787059652}
+- eval_runtime: 5.2612
+- eval_samples_per_second: 30.411
+- eval_steps_per_second: 3.801
 - 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: 222
+- lr_scheduler_warmup_steps: 240
 - num_epochs: 10
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Aug28_08-39-02_6cee3c9a1c9a/events.out.tfevents.1724835072.6cee3c9a1c9a.813.3

@@ -0,0 +1,3 @@
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+size 297