End of training

README.md

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+---
+license: apache-2.0
+base_model: alex-miller/ODABert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: iati-drr-classifier
+  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-drr-classifier
+
+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: 0.3910
+- Accuracy: 0.8207
+
+## 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: 1e-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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.607         | 1.0   | 508  | 0.5053          | 0.7507   |
+| 0.4569        | 2.0   | 1016 | 0.4289          | 0.7980   |
+| 0.4011        | 3.0   | 1524 | 0.4009          | 0.8143   |
+| 0.3786        | 4.0   | 2032 | 0.3910          | 0.8207   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar21_17-27-27_0a46a094dd76/events.out.tfevents.1711045529.0a46a094dd76.2231.1

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