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: multi-dimensional-disability
+  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. -->
+
+# multi-dimensional-disability
+
+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: 0.7126
+- Accuracy: 0.8881
+- F1: 0.8100
+- Precision: 0.7556
+- Recall: 0.8728
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.962         | 1.0   | 437  | 0.9254          | 0.8485   | 0.7272 | 0.7161    | 0.7386 |
+| 0.8959        | 2.0   | 874  | 0.8276          | 0.8762   | 0.7906 | 0.7354    | 0.8546 |
+| 0.8419        | 3.0   | 1311 | 0.7560          | 0.8801   | 0.7925 | 0.7517    | 0.8379 |
+| 0.7452        | 4.0   | 1748 | 0.7235          | 0.8856   | 0.8048 | 0.7540    | 0.8630 |
+| 0.7234        | 5.0   | 2185 | 0.7126          | 0.8881   | 0.8100 | 0.7556    | 0.8728 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2