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End of training

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README.md ADDED
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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: dapt_plus_tapt_amazon_helpfulness_classification
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+ results: []
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+ ---
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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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+
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+ # dapt_plus_tapt_amazon_helpfulness_classification
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+
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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: 0.3889
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+ - Accuracy: 0.8696
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+ - F1 Macro: 0.6767
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.317 | 1.0 | 1563 | 0.3193 | 0.8668 | 0.6641 |
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+ | 0.2897 | 2.0 | 3126 | 0.3704 | 0.8702 | 0.6222 |
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+ | 0.2137 | 3.0 | 4689 | 0.3889 | 0.8696 | 0.6767 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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