Training completed!

README.md

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+---
+license: mit
+base_model: burakaytan/roberta-base-turkish-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: laptop_kriter
+  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. -->
+
+# laptop_kriter
+
+This model is a fine-tuned version of [burakaytan/roberta-base-turkish-uncased](https://huggingface.co/burakaytan/roberta-base-turkish-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2151
+- F1: 0.7709
+- Roc Auc: 0.8574
+- Accuracy: 0.7344
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.3066        | 1.0   | 1151  | 0.2457          | 0.5688 | 0.7257  | 0.6484   |
+| 0.2325        | 2.0   | 2302  | 0.2088          | 0.6630 | 0.7908  | 0.6719   |
+| 0.1723        | 3.0   | 3453  | 0.2023          | 0.6933 | 0.8174  | 0.6875   |
+| 0.159         | 4.0   | 4604  | 0.2004          | 0.7312 | 0.8363  | 0.7188   |
+| 0.1306        | 5.0   | 5755  | 0.2138          | 0.7168 | 0.8104  | 0.7148   |
+| 0.1034        | 6.0   | 6906  | 0.2103          | 0.7745 | 0.8641  | 0.7539   |
+| 0.0865        | 7.0   | 8057  | 0.2107          | 0.7684 | 0.8530  | 0.75     |
+| 0.0733        | 8.0   | 9208  | 0.2099          | 0.7757 | 0.8663  | 0.7383   |
+| 0.0643        | 9.0   | 10359 | 0.2130          | 0.7772 | 0.8586  | 0.7539   |
+| 0.0617        | 10.0  | 11510 | 0.2151          | 0.7709 | 0.8574  | 0.7344   |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "burakaytan/roberta-base-turkish-uncased",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "i\u015flemci",
+    "1": "ekran_karti",
+    "2": "batarya",
+    "3": "ram",
+    "4": "ssd",
+    "5": "fiyat"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "batarya": 2,
+    "ekran_karti": 1,
+    "fiyat": 5,
+    "i\u015flemci": 0,
+    "ram": 3,
+    "ssd": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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runs/Jan23_16-55-02_a278d3a66cf8/events.out.tfevents.1706028904.a278d3a66cf8.2906.0

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": true,
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+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "single_word": false,
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+      "single_word": false,
+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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