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amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter
ltuzova/amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter
amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter is a machine learning model from ltuzova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Updated Apr 22, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Apr 21, 2024
- Updated
- Apr 22, 2024
- SHA
- 0bd2c027
Base models
Model card
From the Hugging Face model README
<!-- 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_seqbn_tapt_full_train_add_adapter
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3051
- Accuracy: 0.8778
- F1 Macro: 0.7038
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: 0.0001
- 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 |
|---|---|---|---|---|---|
| 0.3274 | 1.0 | 7204 | 0.3143 | 0.866 | 0.6036 |
| 0.328 | 2.0 | 14408 | 0.3203 | 0.8668 | 0.5893 |
| 0.3155 | 3.0 | 21612 | 0.3076 | 0.8738 | 0.6825 |
| 0.3098 | 4.0 | 28816 | 0.3079 | 0.8758 | 0.6805 |
| 0.2634 | 5.0 | 36020 | 0.3143 | 0.873 | 0.6983 |
| 0.2546 | 6.0 | 43224 | 0.3108 | 0.8756 | 0.6911 |
| 0.2574 | 7.0 | 50428 | 0.3103 | 0.8718 | 0.6945 |
| 0.2298 | 8.0 | 57632 | 0.3207 | 0.875 | 0.6973 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- License
- mit
- Created
- Apr 21, 2024
- Updated
- Apr 22, 2024