KBANK-finetune-wangchan2

README.md

@@ -9,22 +9,22 @@ metrics:
 - recall
 - f1
 model-index:
-- name: kbank-finetune-wangchan2
+- name: KBANK-finetune-wangchan2
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# kbank-finetune-wangchan2
+# KBANK-finetune-wangchan2
 
 This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9560
-- Accuracy: 0.4902
-- Precision: 0.4414
-- Recall: 0.4902
-- F1: 0.4644
+- Loss: 1.0220
+- Accuracy: 0.4078
+- Precision: 0.3996
+- Recall: 0.4078
+- F1: 0.3891
 
 ## Model description
 
@@ -55,20 +55,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 30   | 0.9476          | 0.5196   | 0.4543    | 0.5196 | 0.4246 |
-| No log        | 2.0   | 60   | 0.9501          | 0.4314   | 0.4098    | 0.4314 | 0.3923 |
-| No log        | 3.0   | 90   | 0.9594          | 0.4657   | 0.4742    | 0.4657 | 0.4204 |
-| No log        | 4.0   | 120  | 0.9513          | 0.5539   | 0.5241    | 0.5539 | 0.4686 |
-| No log        | 5.0   | 150  | 0.9568          | 0.4412   | 0.4077    | 0.4412 | 0.4185 |
-| No log        | 6.0   | 180  | 0.9501          | 0.4559   | 0.4226    | 0.4559 | 0.4337 |
-| No log        | 7.0   | 210  | 0.9446          | 0.4902   | 0.4328    | 0.4902 | 0.4579 |
-| No log        | 8.0   | 240  | 0.9540          | 0.4902   | 0.4448    | 0.4902 | 0.4655 |
-| No log        | 9.0   | 270  | 0.9560          | 0.4902   | 0.4414    | 0.4902 | 0.4644 |
+| No log        | 1.0   | 15   | 0.9362          | 0.5534   | 0.4303    | 0.5534 | 0.4286 |
+| No log        | 2.0   | 30   | 0.9895          | 0.4757   | 0.4461    | 0.4757 | 0.4563 |
+| No log        | 3.0   | 45   | 0.9732          | 0.4757   | 0.4209    | 0.4757 | 0.4458 |
+| No log        | 4.0   | 60   | 0.9737          | 0.4175   | 0.3414    | 0.4175 | 0.3717 |
+| No log        | 5.0   | 75   | 1.0453          | 0.4078   | 0.4099    | 0.4078 | 0.3739 |
+| No log        | 6.0   | 90   | 1.0218          | 0.4175   | 0.4126    | 0.4175 | 0.3950 |
+| No log        | 7.0   | 105  | 1.0220          | 0.4078   | 0.3996    | 0.4078 | 0.3891 |
 
 
 ### Framework versions
 
 - Transformers 4.51.3
 - Pytorch 2.6.0+cu124
-- Datasets 3.5.1
+- Datasets 3.6.0
 - Tokenizers 0.21.1

model.safetensors

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runs/May10_12-29-15_1bb2fc2bbf82/events.out.tfevents.1746880159.1bb2fc2bbf82.1680.0

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training_args.bin

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