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license: mit
base_model: BigTMiami/amazon_pretraining_5M_model_corrected
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining
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. -->
# amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining
This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model_corrected](https://huggingface.co/BigTMiami/amazon_pretraining_5M_model_corrected) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7517
- Accuracy: 0.8699
- F1 Macro: 0.6736
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3151 | 1.0 | 7204 | 0.3461 | 0.8766 | 0.6664 |
| 0.2861 | 2.0 | 14408 | 0.3429 | 0.8736 | 0.6544 |
| 0.2788 | 3.0 | 21612 | 0.3600 | 0.8722 | 0.6466 |
| 0.2585 | 4.0 | 28816 | 0.3805 | 0.8682 | 0.6789 |
| 0.1873 | 5.0 | 36020 | 0.5306 | 0.871 | 0.6660 |
| 0.1333 | 6.0 | 43224 | 0.6493 | 0.8674 | 0.6675 |
| 0.1369 | 7.0 | 50428 | 0.7657 | 0.869 | 0.6799 |
| 0.0936 | 8.0 | 57632 | 0.8041 | 0.8674 | 0.6779 |
| 0.1062 | 9.0 | 64836 | 0.9458 | 0.867 | 0.6633 |
| 0.0463 | 10.0 | 72040 | 1.0079 | 0.8682 | 0.6684 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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