End of training

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: 3728km/fined-tune-thai-sentiment
+base_model: airesearch/wangchanberta-base-att-spm-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -13,15 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fined-tune-thai-sentiment
 
-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.
+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: 0.4239
-- eval_model_preparation_time: 0.004
-- eval_accuracy: {'accuracy': 0.8682634730538922}
-- eval_f1score: {'f1': 0.8577044470584322}
-- eval_runtime: 7.1367
-- eval_samples_per_second: 23.4
-- eval_steps_per_second: 2.943
+- eval_loss: 0.4121
+- eval_model_preparation_time: 0.0134
+- eval_accuracy: {'accuracy': 0.8562874251497006}
+- eval_f1score: {'f1': 0.8323646257901379}
+- eval_runtime: 16.0554
+- eval_samples_per_second: 10.402
+- eval_steps_per_second: 1.308
 - step: 0
 
 ## Model description
@@ -47,7 +47,7 @@ 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: 249
+- lr_scheduler_warmup_steps: 415
 - num_epochs: 10
 
 ### Framework versions

runs/Sep09_00-36-13_ec606a0b17bc/events.out.tfevents.1725843141.ec606a0b17bc.737.1

@@ -0,0 +1,3 @@
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+oid sha256:667d913b1adb2597691a08b0e36ef1a2c05684ff51f6b25ba7b9d25c060c3001
+size 360