Training completed!

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: dbmdz/bert-base-turkish-cased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: bert-duygua15
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-duygua15
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2994
+- Accuracy: 0.9392
 
 ## Model description
 
@@ -38,18 +43,24 @@ 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: 1
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 75   | 0.1717          | 0.9433   |
+| No log        | 1.0   | 75   | 0.1725          | 0.935    |
+| No log        | 2.0   | 150  | 0.1828          | 0.9442   |
+| No log        | 3.0   | 225  | 0.1881          | 0.9442   |
+| No log        | 4.0   | 300  | 0.2715          | 0.9317   |
+| No log        | 5.0   | 375  | 0.2700          | 0.94     |
+| No log        | 6.0   | 450  | 0.2824          | 0.9417   |
+| 0.0995        | 7.0   | 525  | 0.2994          | 0.9392   |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.40.2
 - Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cea5984d4b408dfa7c535416401c9670341cb899c7d57d10819534f26cb7ed56
+oid sha256:74d6613881f21718da9974986a2ec7245a17c7bc31d969c8b5bd5d4bbb3d5c3b
 size 442502140