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End of training

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README.md CHANGED
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # knowledge-graph-nlp
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [vishnun/NLP-KnowledgeGraph](https://huggingface.co/datasets/vishnun/NLP-KnowledgeGraph) dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1765
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- - Precision: 0.9013
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- - Recall: 0.8807
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- - F1: 0.8909
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- - Accuracy: 0.9487
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  ## Model description
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@@ -55,15 +55,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.2841 | 1.0 | 2316 | 0.2421 | 0.8382 | 0.8124 | 0.8251 | 0.9189 |
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- | 0.1925 | 2.0 | 4632 | 0.1946 | 0.8752 | 0.8567 | 0.8658 | 0.9373 |
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- | 0.1539 | 3.0 | 6948 | 0.1815 | 0.8912 | 0.8735 | 0.8822 | 0.9449 |
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- | 0.1285 | 4.0 | 9264 | 0.1765 | 0.9013 | 0.8807 | 0.8909 | 0.9487 |
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  ### Framework versions
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- - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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  # knowledge-graph-nlp
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1830
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+ - Precision: 0.8988
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+ - Recall: 0.8715
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+ - F1: 0.8849
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+ - Accuracy: 0.9453
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.2908 | 1.0 | 2316 | 0.2461 | 0.8455 | 0.8023 | 0.8234 | 0.9167 |
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+ | 0.1973 | 2.0 | 4632 | 0.2000 | 0.8745 | 0.8446 | 0.8593 | 0.9341 |
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+ | 0.1593 | 3.0 | 6948 | 0.1863 | 0.8973 | 0.8632 | 0.8799 | 0.9427 |
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+ | 0.1336 | 4.0 | 9264 | 0.1830 | 0.8988 | 0.8715 | 0.8849 | 0.9453 |
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  ### Framework versions
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+ - Transformers 4.37.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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  - Tokenizers 0.15.2
config.json CHANGED
@@ -31,6 +31,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.35.2",
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  "vocab_size": 30522
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.37.2",
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  "vocab_size": 30522
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  }
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