End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1457
-- Precision: 0.5116
-- Recall: 0.3964
-- F1: 0.4467
-- Accuracy: 0.9618
+- Loss: 0.5271
+- Precision: 0.4533
+- Recall: 0.4378
+- F1: 0.4454
+- Accuracy: 0.8407
 
 ## Model description
 
@@ -56,19 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1975        | 1.0   | 230  | 0.1641          | 0.6471    | 0.25   | 0.3607 | 0.9667   |
-| 0.1939        | 2.0   | 460  | 0.1492          | 0.4912    | 0.3182 | 0.3862 | 0.9673   |
-| 0.1543        | 3.0   | 690  | 0.1448          | 0.3103    | 0.3068 | 0.3086 | 0.9680   |
-| 0.1571        | 4.0   | 920  | 0.1173          | 0.2105    | 0.1818 | 0.1951 | 0.9729   |
-| 0.1401        | 5.0   | 1150 | 0.1095          | 0.3140    | 0.3068 | 0.3103 | 0.9732   |
-| 0.1101        | 6.0   | 1380 | 0.1175          | 0.3896    | 0.3409 | 0.3636 | 0.9741   |
-| 0.0639        | 7.0   | 1610 | 0.1138          | 0.3364    | 0.4091 | 0.3692 | 0.9707   |
-| 0.0589        | 8.0   | 1840 | 0.1195          | 0.3838    | 0.4318 | 0.4064 | 0.9719   |
+| 0.7102        | 1.0   | 105  | 0.5722          | 0.6       | 0.1720 | 0.2673 | 0.8499   |
+| 0.4812        | 2.0   | 210  | 0.4792          | 0.5023    | 0.3439 | 0.4083 | 0.8645   |
+| 0.3025        | 3.0   | 315  | 0.5154          | 0.3987    | 0.4013 | 0.4    | 0.8523   |
+| 0.1848        | 4.0   | 420  | 0.6540          | 0.4181    | 0.5446 | 0.4730 | 0.8327   |
+| 0.1135        | 5.0   | 525  | 0.6031          | 0.4959    | 0.5828 | 0.5359 | 0.8587   |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
+- Transformers 4.47.1
 - Pytorch 2.5.1+cu124
-- Datasets 3.1.0
-- Tokenizers 0.20.3
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -13,14 +13,30 @@
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
-    "2": "LABEL_2"
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0,
     "LABEL_1": 1,
-    "LABEL_2": 2
+    "LABEL_10": 10,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -30,7 +46,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.46.2",
+  "transformers_version": "4.47.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 100000

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:c371166510983a467fa86d7b7cf85ebd312acdfcf4c2ebe34e8855774d1b6262
-size 649039236
+oid sha256:c9a4b01733dcb74d57f20252cf3a7f43ed38e0f59a843fd258c2931e7b3b3982
+size 649063844

tokenizer_config.json

@@ -127,6 +127,7 @@
   "cls_token": "<s>",
   "eos_token": "</s>",
   "errors": "replace",
+  "extra_special_tokens": {},
   "mask_token": "<mask>",
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<pad>",

training_args.bin

@@ -1,3 +1,3 @@
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-size 5240
+oid sha256:8652606439bf7dc6de8cff5d75772b3020b5b94a43a76d7b27a96007cf126d98
+size 5304