End of training

README.md

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+---
+license: cc
+base_model: davidmasip/racism
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: racism-finetuned-detests24
+  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. -->
+
+# racism-finetuned-detests24
+
+This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1060
+- Accuracy: 0.8429
+- F1-score: 0.7668
+- Precision: 0.7800
+- Recall: 0.7562
+- Auc: 0.7562
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
+| 0.3373        | 1.0   | 153  | 0.3420          | 0.8478   | 0.7336   | 0.8355    | 0.6985 | 0.6985 |
+| 0.2465        | 2.0   | 306  | 0.7181          | 0.8478   | 0.7747   | 0.7873    | 0.7644 | 0.7644 |
+| 0.0004        | 3.0   | 459  | 0.9072          | 0.8380   | 0.7689   | 0.7696    | 0.7682 | 0.7682 |
+| 0.0002        | 4.0   | 612  | 0.9867          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
+| 0.0001        | 5.0   | 765  | 1.0289          | 0.8429   | 0.7655   | 0.7807    | 0.7537 | 0.7537 |
+| 0.0001        | 6.0   | 918  | 1.0580          | 0.8445   | 0.7686   | 0.7829    | 0.7572 | 0.7572 |
+| 0.0001        | 7.0   | 1071 | 1.0791          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
+| 0.0001        | 8.0   | 1224 | 1.0939          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
+| 0.0001        | 9.0   | 1377 | 1.1029          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
+| 0.0001        | 10.0  | 1530 | 1.1060          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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