End of training

README.md

@@ -13,13 +13,13 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/huggingface/runs/qhfyk7vc)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/huggingface/runs/xvsc2vjx)
 # test-model
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2358
-- Accuracy: 0.9376
+- Loss: 0.2643
+- Accuracy: 0.9256
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.0327        | 0.9639 | 60   | 0.8998          | 0.5473   |
-| 0.8179        | 1.9277 | 120  | 0.7176          | 0.7284   |
-| 0.7038        | 2.8916 | 180  | 0.5978          | 0.7726   |
-| 0.604         | 3.8554 | 240  | 0.4930          | 0.8068   |
-| 0.4478        | 4.8193 | 300  | 0.4394          | 0.8571   |
-| 0.3424        | 5.7831 | 360  | 0.2473          | 0.9356   |
-| 0.2812        | 6.7470 | 420  | 0.2366          | 0.9457   |
-| 0.2113        | 7.7108 | 480  | 0.2660          | 0.9235   |
-| 0.1935        | 8.6747 | 540  | 0.2410          | 0.9376   |
-| 0.1621        | 9.6386 | 600  | 0.2358          | 0.9376   |
+| 1.0369        | 0.9639 | 60   | 0.9137          | 0.5412   |
+| 0.8176        | 1.9277 | 120  | 0.7283          | 0.7042   |
+| 0.6663        | 2.8916 | 180  | 0.6335          | 0.7344   |
+| 0.5593        | 3.8554 | 240  | 0.5275          | 0.8229   |
+| 0.4492        | 4.8193 | 300  | 0.4215          | 0.8551   |
+| 0.3195        | 5.7831 | 360  | 0.3699          | 0.8793   |
+| 0.2687        | 6.7470 | 420  | 0.5120          | 0.8390   |
+| 0.2339        | 7.7108 | 480  | 0.2798          | 0.9215   |
+| 0.1845        | 8.6747 | 540  | 0.2746          | 0.9155   |
+| 0.1848        | 9.6386 | 600  | 0.2643          | 0.9256   |
 
 
 ### Framework versions