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--- |
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license: apache-2.0 |
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base_model: alex-miller/ODABert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: cdp-multi-classifier-sub-classes-weighted |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# cdp-multi-classifier-sub-classes-weighted |
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6494 |
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- Accuracy: 0.8423 |
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- F1: 0.7847 |
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- Precision: 0.7488 |
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- Recall: 0.8243 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.8824 | 1.0 | 206 | 0.9109 | 0.6793 | 0.5494 | 0.5385 | 0.5607 | |
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| 0.816 | 2.0 | 412 | 0.8348 | 0.7865 | 0.7127 | 0.6712 | 0.7597 | |
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| 0.7455 | 3.0 | 618 | 0.7694 | 0.7712 | 0.7053 | 0.64 | 0.7855 | |
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| 0.6808 | 4.0 | 824 | 0.7323 | 0.7874 | 0.7217 | 0.6638 | 0.7907 | |
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| 0.6246 | 5.0 | 1030 | 0.6920 | 0.7829 | 0.7175 | 0.6567 | 0.7907 | |
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| 0.5689 | 6.0 | 1236 | 0.6926 | 0.7874 | 0.7230 | 0.6624 | 0.7959 | |
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| 0.5237 | 7.0 | 1442 | 0.6642 | 0.8072 | 0.7476 | 0.6876 | 0.8191 | |
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| 0.4842 | 8.0 | 1648 | 0.6419 | 0.8081 | 0.7461 | 0.6925 | 0.8088 | |
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| 0.4519 | 9.0 | 1854 | 0.6498 | 0.8225 | 0.7612 | 0.7169 | 0.8114 | |
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| 0.4264 | 10.0 | 2060 | 0.6496 | 0.8315 | 0.7728 | 0.7294 | 0.8217 | |
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| 0.4078 | 11.0 | 2266 | 0.6669 | 0.8378 | 0.7800 | 0.7401 | 0.8243 | |
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| 0.398 | 12.0 | 2472 | 0.6508 | 0.8405 | 0.7828 | 0.7453 | 0.8243 | |
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| 0.3808 | 13.0 | 2678 | 0.6539 | 0.8387 | 0.7809 | 0.7419 | 0.8243 | |
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| 0.3757 | 14.0 | 2884 | 0.6497 | 0.8423 | 0.7847 | 0.7488 | 0.8243 | |
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| 0.3691 | 15.0 | 3090 | 0.6494 | 0.8423 | 0.7847 | 0.7488 | 0.8243 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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