Model save

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: bert-small-url
+  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-small-url
+
+This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0603
+- Accuracy: 0.9888
+- Precision: 0.9864
+- Recall: 0.9926
+
+## 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|
+| 0.0499        | 1.0   | 32322  | 0.0552          | 0.9845   | 0.9883    | 0.9823 |
+| 0.0453        | 2.0   | 64644  | 0.0563          | 0.9876   | 0.9843    | 0.9924 |
+| 0.0361        | 3.0   | 96966  | 0.0596          | 0.9885   | 0.9884    | 0.9900 |
+| 0.0254        | 4.0   | 129288 | 0.0603          | 0.9888   | 0.9864    | 0.9926 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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