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-detests-wandb
+  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-detests-wandb
+
+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: 0.4148
+- Accuracy: 0.8265
+- F1-score: 0.7569
+- Precision: 0.7532
+- Recall: 0.7608
+- Auc: 0.7608
+
+## 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: 3e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
+| 0.3742        | 1.0   | 44   | 0.3319          | 0.8412   | 0.7461   | 0.7899    | 0.7221 | 0.7221 |
+| 0.092         | 2.0   | 88   | 0.4148          | 0.8265   | 0.7569   | 0.7532    | 0.7608 | 0.7608 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0