Model save

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: vinai/phobert-base-v2
+base_model: yensubldg/model
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model
 
-This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
+This model is a fine-tuned version of [yensubldg/model](https://huggingface.co/yensubldg/model) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3161
-- Accuracy: 0.9625
+- Loss: 0.1942
+- Accuracy: 0.9688
 
 ## Model description
 
@@ -42,22 +42,27 @@ 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
-- num_epochs: 10
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 122  | 2.0032          | 0.5781   |
-| No log        | 2.0   | 244  | 1.3226          | 0.8063   |
-| No log        | 3.0   | 366  | 0.9165          | 0.8969   |
-| No log        | 4.0   | 488  | 0.6650          | 0.9062   |
-| 1.2804        | 5.0   | 610  | 0.5028          | 0.9313   |
-| 1.2804        | 6.0   | 732  | 0.4227          | 0.9469   |
-| 1.2804        | 7.0   | 854  | 0.3703          | 0.9563   |
-| 1.2804        | 8.0   | 976  | 0.3407          | 0.9594   |
-| 0.2966        | 9.0   | 1098 | 0.3232          | 0.9625   |
-| 0.2966        | 10.0  | 1220 | 0.3161          | 0.9625   |
+| No log        | 1.0   | 122  | 0.2958          | 0.9406   |
+| No log        | 2.0   | 244  | 0.2619          | 0.95     |
+| No log        | 3.0   | 366  | 0.2153          | 0.9625   |
+| No log        | 4.0   | 488  | 0.2221          | 0.9625   |
+| 0.1038        | 5.0   | 610  | 0.2106          | 0.9625   |
+| 0.1038        | 6.0   | 732  | 0.2074          | 0.9656   |
+| 0.1038        | 7.0   | 854  | 0.1965          | 0.9656   |
+| 0.1038        | 8.0   | 976  | 0.1942          | 0.9688   |
+| 0.0457        | 9.0   | 1098 | 0.1945          | 0.9688   |
+| 0.0457        | 10.0  | 1220 | 0.2008          | 0.9688   |
+| 0.0457        | 11.0  | 1342 | 0.1994          | 0.9688   |
+| 0.0457        | 12.0  | 1464 | 0.1982          | 0.9688   |
+| 0.0271        | 13.0  | 1586 | 0.1990          | 0.9688   |
+| 0.0271        | 14.0  | 1708 | 0.2003          | 0.9688   |
+| 0.0271        | 15.0  | 1830 | 0.1999          | 0.9688   |
 
 
 ### Framework versions

model.safetensors

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 size 540087980

runs/Dec04_06-08-38_c50e2ae6a9c3/events.out.tfevents.1701670119.c50e2ae6a9c3.262.12

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runs/Dec04_06-08-38_c50e2ae6a9c3/events.out.tfevents.1701670517.c50e2ae6a9c3.262.13

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