End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: google-bert/bert-base-uncased
+license: cc-by-nc-4.0
+base_model: AIMH/mental-bert-base-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERTForDetectingDepression-Twitter2015
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [AIMH/mental-bert-base-cased](https://huggingface.co/AIMH/mental-bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3289
-- Accuracy: 0.9300
+- Loss: 0.5232
+- Accuracy: 0.9276
 
 ## Model description
 
@@ -37,20 +37,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3.083803249747333e-05
+- learning_rate: 1.8919952478487808e-05
 - train_batch_size: 4
 - eval_batch_size: 16
-- seed: 13
+- seed: 36
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3649        | 1.0   | 3665 | 0.3077          | 0.9208   |
-| 0.1532        | 2.0   | 7330 | 0.3289          | 0.9300   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3347        | 1.0   | 3665  | 0.3384          | 0.9061   |
+| 0.152         | 2.0   | 7330  | 0.4665          | 0.9227   |
+| 0.0444        | 3.0   | 10995 | 0.5232          | 0.9276   |
+| 0.0057        | 4.0   | 14660 | 0.5890          | 0.9269   |
 
 
 ### Framework versions

model.safetensors

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 size 433270768

runs/Aug01_14-25-19_1d376fbba8fb/events.out.tfevents.1722524067.1d376fbba8fb.12065.14

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