End of training

README.md

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+---
+license: mit
+base_model: dbmdz/bert-base-turkish-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: TTC4900Model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# TTC4900Model
+
+This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2304
+- Accuracy: 0.9341
+- F1: 0.8963
+- Precision: 0.9000
+- Recall: 0.8989
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 2.581         | 0.88  | 50   | 2.0974          | 0.4317   | 0.2930 | 0.4400    | 0.3556 |
+| 1.3915        | 1.75  | 100  | 0.6175          | 0.8590   | 0.8144 | 0.8008    | 0.8445 |
+| 0.3808        | 2.63  | 150  | 0.3171          | 0.8767   | 0.8481 | 0.9359    | 0.8620 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "dbmdz/bert-base-turkish-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Mapping shared/ network drive",
+    "1": "Disk Space Cleanup, Application Performance - Clear browser cache and cookies",
+    "2": "Account Unlock/ Password Reset",
+    "3": "Distribution List related",
+    "4": "Pending reboots for Windows update",
+    "5": "Application/ AD Access Issues",
+    "6": "Repair O365/ M365.",
+    "7": "Onedrive repair / sync issues",
+    "8": "Service-Now account related",
+    "9": "Disk Space Cleanup",
+    "10": "Outlook Related issues",
+    "11": "Web browser plugins",
+    "12": "Windows login issue",
+    "13": "Printer related",
+    "14": "Optimize CPU utilization"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Account Unlock/ Password Reset": 2,
+    "Application/ AD Access Issues": 5,
+    "Disk Space Cleanup": 9,
+    "Disk Space Cleanup, Application Performance - Clear browser cache and cookies": 1,
+    "Distribution List related": 3,
+    "Mapping shared/ network drive": 0,
+    "Onedrive repair / sync issues": 7,
+    "Optimize CPU utilization": 14,
+    "Outlook Related issues": 10,
+    "Pending reboots for Windows update": 4,
+    "Printer related": 13,
+    "Repair O365/ M365.": 6,
+    "Service-Now account related": 8,
+    "Web browser plugins": 11,
+    "Windows login issue": 12
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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+oid sha256:24f6c64925be072b517e471d1916b809d1733afda26da1c71e4ccb7b27972b59
+size 442539052

training_args.bin

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+size 4536