Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-agnews
+  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. -->
+
+# bert-agnews
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2343
+- Accuracy: 0.946
+- F1 Macro: 0.9456
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
+| 0.2213        | 1.0   | 3594  | 0.1723          | 0.939    | 0.9386   |
+| 0.1288        | 2.0   | 7188  | 0.1712          | 0.9456   | 0.9453   |
+| 0.0836        | 3.0   | 10782 | 0.1990          | 0.9478   | 0.9473   |
+| 0.0539        | 4.0   | 14376 | 0.2343          | 0.946    | 0.9456   |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.5.1+cu121
+- Datasets 4.5.0
+- Tokenizers 0.22.2

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