alionder commited on
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Training completed!

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dbmdz/distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3693
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- - F1: 0.7033
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- - Roc Auc: 0.7995
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- - Accuracy: 0.3976
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 166 | 0.4056 | 0.6069 | 0.7332 | 0.2048 |
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- | No log | 2.0 | 332 | 0.3986 | 0.5952 | 0.7243 | 0.2289 |
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- | No log | 3.0 | 498 | 0.3876 | 0.6108 | 0.7332 | 0.2410 |
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- | 0.409 | 4.0 | 664 | 0.3761 | 0.6910 | 0.7888 | 0.3494 |
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- | 0.409 | 5.0 | 830 | 0.3693 | 0.7033 | 0.7995 | 0.3976 |
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  ### Framework versions
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- - Transformers 4.36.0
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [dbmdz/distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3755
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+ - F1: 0.4267
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+ - Roc Auc: 0.6364
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+ - Accuracy: 0.3373
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 166 | 0.3990 | 0.0 | 0.5 | 0.2771 |
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+ | No log | 2.0 | 332 | 0.3807 | 0.3676 | 0.6112 | 0.3373 |
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+ | No log | 3.0 | 498 | 0.3977 | 0.3582 | 0.6076 | 0.3373 |
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+ | 0.4017 | 4.0 | 664 | 0.3857 | 0.3504 | 0.6038 | 0.3373 |
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+ | 0.4017 | 5.0 | 830 | 0.3755 | 0.4267 | 0.6364 | 0.3373 |
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  ### Framework versions
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0
config.json CHANGED
@@ -9,27 +9,21 @@
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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- "0": "pozitif",
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- "1": "negatif",
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- "2": "n\u00f6tr",
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- "3": "i\u015flemci",
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- "4": "ekran_karti",
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- "5": "batarya",
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- "6": "ram",
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- "7": "ssd",
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- "8": "fiyat"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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- "batarya": 5,
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- "ekran_karti": 4,
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- "fiyat": 8,
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- "i\u015flemci": 3,
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- "negatif": 1,
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- "n\u00f6tr": 2,
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- "ram": 6,
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- "ssd": 7
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "sinusoidal_pos_embds": true,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.36.0",
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  "vocab_size": 32000
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  }
 
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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+ "0": "i\u015flemci",
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+ "1": "ekran_karti",
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+ "2": "batarya",
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+ "3": "ram",
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+ "4": "ssd",
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+ "5": "fiyat"
 
 
 
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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+ "batarya": 2,
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+ "ekran_karti": 1,
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+ "fiyat": 5,
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+ "i\u015flemci": 0,
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+ "ram": 3,
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+ "ssd": 4
 
 
 
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
 
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  "sinusoidal_pos_embds": true,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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  "vocab_size": 32000
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  }
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