End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: roberta-base-finetuned
+  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. -->
+
+# roberta-base-finetuned
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3330
+- F1: 0.9333
+- Roc Auc: 0.95
+- Accuracy: 0.9333
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.0946        | 1.0   | 6461  | 0.2880          | 0.9    | 0.9250  | 0.9      |
+| 0.0686        | 2.0   | 12922 | 0.2729          | 0.9    | 0.9250  | 0.9      |
+| 0.0194        | 3.0   | 19383 | 1.0074          | 0.7833 | 0.8375  | 0.7833   |
+| 0.0221        | 4.0   | 25844 | 0.3330          | 0.9333 | 0.95    | 0.9333   |
+| 0.0036        | 5.0   | 32305 | 0.6225          | 0.85   | 0.8875  | 0.85     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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