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trainer: training complete at 2024-02-06 16:06:05.680434.

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - essay_dataset
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: distilbert_B001
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: essay_dataset
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+ type: essay_dataset
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+ config: mittelwerte
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+ split: test
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+ args: mittelwerte
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.40657710846809847
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # distilbert_B001
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the essay_dataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8633
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+ - F1: 0.4066
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 42 | 1.1517 | 0.2990 |
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+ | No log | 2.0 | 84 | 0.9337 | 0.2775 |
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+ | No log | 3.0 | 126 | 0.8388 | 0.3911 |
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+ | No log | 4.0 | 168 | 0.8633 | 0.4066 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.1
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "transformers_version": "4.37.1",
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+ }
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