End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: alex-miller/ODABert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: cls-pooled-gender
+  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. -->
+
+# cls-pooled-gender
+
+This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2146
+- Accuracy: 0.9522
+- F1: 0.9388
+- Precision: 0.9093
+- Recall: 0.9703
+
+## 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-06
+- train_batch_size: 24
+- eval_batch_size: 24
+- 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 | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.5237        | 1.0   | 342  | 0.3170          | 0.9047   | 0.8842 | 0.8167    | 0.9638 |
+| 0.2785        | 2.0   | 684  | 0.2489          | 0.9388   | 0.9226 | 0.8831    | 0.9658 |
+| 0.2301        | 3.0   | 1026 | 0.2242          | 0.9537   | 0.9402 | 0.9171    | 0.9645 |
+| 0.2071        | 4.0   | 1368 | 0.2169          | 0.9517   | 0.9381 | 0.9091    | 0.9690 |
+| 0.1941        | 5.0   | 1710 | 0.2146          | 0.9522   | 0.9388 | 0.9093    | 0.9703 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1