End of training.

README.md

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+---
+license: mit
+base_model: ConnyGenz/artificially-natural-roberta
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: artificially-natural-roberta-01
+  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. -->
+
+# artificially-natural-roberta-01
+
+This model is a fine-tuned version of [ConnyGenz/artificially-natural-roberta](https://huggingface.co/ConnyGenz/artificially-natural-roberta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0778
+- F1: 0.988
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| No log        | 1.0   | 250  | 0.2569          | 0.957 |
+| 0.0304        | 2.0   | 500  | 0.1103          | 0.984 |
+| 0.0304        | 3.0   | 750  | 0.0778          | 0.988 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1