End of training

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-base-turkish-finetuned-nli
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-base-turkish-finetuned-nli
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7783
+- Accuracy: 0.7139
 
 ## Model description
 
@@ -38,11 +43,20 @@ 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7383        | 1.0   | 4594  | 0.7102          | 0.6962   |
+| 0.6036        | 2.0   | 9188  | 0.7032          | 0.7134   |
+| 0.4428        | 3.0   | 13782 | 0.7783          | 0.7139   |
+
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

runs/Jan29_10-15-30_a4818fc31208/events.out.tfevents.1706530943.a4818fc31208.705.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85117578fbad829173076841ce5a09a87d1ea582488ec9848dc10b15758794e7
+size 411