End of training

README.md

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+---
+license: apache-2.0
+base_model: alex-miller/ODABert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: iati-gender-multi-classifier-weighted-minitest
+  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. -->
+
+# iati-gender-multi-classifier-weighted-minitest
+
+This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6625
+- Accuracy: 0.8256
+- F1: 0.6997
+- Precision: 0.6138
+- Recall: 0.8135
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.9142        | 1.0   | 616  | 0.7573          | 0.7352   | 0.5803 | 0.4802    | 0.7331 |
+| 0.7431        | 2.0   | 1232 | 0.6871          | 0.7973   | 0.6652 | 0.5661    | 0.8062 |
+| 0.6934        | 3.0   | 1848 | 0.6713          | 0.8160   | 0.6902 | 0.5955    | 0.8208 |
+| 0.6631        | 4.0   | 2464 | 0.6609          | 0.8187   | 0.6944 | 0.5997    | 0.8245 |
+| 0.6341        | 5.0   | 3080 | 0.6589          | 0.8237   | 0.6956 | 0.6117    | 0.8062 |
+| 0.6143        | 6.0   | 3696 | 0.6551          | 0.8205   | 0.6970 | 0.6027    | 0.8263 |
+| 0.5931        | 7.0   | 4312 | 0.6597          | 0.8201   | 0.6893 | 0.6061    | 0.7989 |
+| 0.5773        | 8.0   | 4928 | 0.6579          | 0.8224   | 0.6963 | 0.6076    | 0.8154 |
+| 0.5652        | 9.0   | 5544 | 0.6613          | 0.8233   | 0.6984 | 0.6087    | 0.8190 |
+| 0.5597        | 10.0  | 6160 | 0.6625          | 0.8256   | 0.6997 | 0.6138    | 0.8135 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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