Pushing of the new best model checkpoint

README.md

@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1511
-- Accuracy: 0.9465
-- F1 Macro: 0.9059
-- F1 Weighted: 0.9451
-- Precision: 0.9449
-- Recall: 0.9465
+- Loss: 0.0880
+- Accuracy: 0.9688
+- F1 Macro: 0.9454
+- F1 Weighted: 0.9685
+- Precision: 0.9683
+- Recall: 0.9688
 
 ## Model description
 
@@ -51,13 +51,16 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 400
-- training_steps: 200
+- training_steps: 1600
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision | Recall |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------:|:------:|
-| 0.5691        | 0.0290 | 200  | 0.1511          | 0.9465   | 0.9059   | 0.9451      | 0.9449    | 0.9465 |
+| 0.3538        | 0.0581 | 400  | 0.1162          | 0.9582   | 0.9243   | 0.9568      | 0.9572    | 0.9582 |
+| 0.1131        | 0.1162 | 800  | 0.1034          | 0.9639   | 0.9369   | 0.9635      | 0.9633    | 0.9639 |
+| 0.1026        | 0.1743 | 1200 | 0.0940          | 0.9649   | 0.9411   | 0.9652      | 0.9657    | 0.9649 |
+| 0.0936        | 0.2324 | 1600 | 0.0880          | 0.9688   | 0.9454   | 0.9685      | 0.9683    | 0.9688 |
 
 
 ### Framework versions

config.json

@@ -9,16 +9,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "Negative",
+    "1": "Notr",
+    "2": "Positive"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "Negative": 0,
+    "Notr": 1,
+    "Positive": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

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 size 442502140

training_args.bin

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 size 5432