Training completed!

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: CS221-bert-base-uncased-finetuned-semeval-NT-ptbr
+  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. -->
+
+# CS221-bert-base-uncased-finetuned-semeval-NT-ptbr
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3087
+- F1: 0.6754
+- Roc Auc: 0.7981
+- Accuracy: 0.5775
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.3677        | 1.0   | 223  | 0.3335          | 0.5623 | 0.7135  | 0.4876   |
+| 0.2798        | 2.0   | 446  | 0.2976          | 0.5723 | 0.7125  | 0.5169   |
+| 0.181         | 3.0   | 669  | 0.3087          | 0.6754 | 0.7981  | 0.5775   |
+| 0.0998        | 4.0   | 892  | 0.3217          | 0.6370 | 0.7601  | 0.5573   |
+| 0.0833        | 5.0   | 1115 | 0.3453          | 0.6510 | 0.7733  | 0.5730   |
+| 0.0542        | 6.0   | 1338 | 0.3612          | 0.6460 | 0.7753  | 0.5685   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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