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--- |
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license: mit |
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base_model: BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model |
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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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model-index: |
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- name: amazon_helpfulness_classification_dapt_tap |
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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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# amazon_helpfulness_classification_dapt_tap |
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This model is a fine-tuned version of [BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model](https://huggingface.co/BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3428 |
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- Accuracy: 0.8785 |
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- F1 Macro: 0.6863 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 2e-05 |
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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=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:| |
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| 0.315 | 1.0 | 7204 | 0.3045 | 0.874 | 0.6410 | |
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| 0.3083 | 2.0 | 14408 | 0.3373 | 0.8722 | 0.6349 | |
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| 0.2639 | 3.0 | 21612 | 0.3507 | 0.8768 | 0.6922 | |
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| 0.2388 | 4.0 | 28816 | 0.4179 | 0.87 | 0.6659 | |
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| 0.1534 | 5.0 | 36020 | 0.5956 | 0.8738 | 0.6830 | |
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| 0.1524 | 6.0 | 43224 | 0.6679 | 0.8684 | 0.6796 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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