End of training

README.md

@@ -0,0 +1,65 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: classificacao_texto_hugging_face
+  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. -->
+
+# classificacao_texto_hugging_face
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3584
+- Accuracy: 0.9328
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2252        | 1.0   | 1563 | 0.2360          | 0.9062   |
+| 0.1526        | 2.0   | 3126 | 0.2298          | 0.9292   |
+| 0.0893        | 3.0   | 4689 | 0.2804          | 0.9330   |
+| 0.0489        | 4.0   | 6252 | 0.3457          | 0.9317   |
+| 0.0337        | 5.0   | 7815 | 0.3584          | 0.9328   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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wandb/debug.log

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