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adapter_dapt_reviews_small
jgrc3/adapter_dapt_reviews_small
adapter_dapt_reviews_small is a machine learning model from jgrc3. 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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Public
Updated Apr 12, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Apr 9, 2024
- Updated
- Apr 12, 2024
- SHA
- 9361bd30
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. -->
adapter_dapt_reviews_small
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5694
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 11
- total_train_batch_size: 352
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7 | 0.2 | 500 | 1.5982 |
| 1.6873 | 0.41 | 1000 | 1.5850 |
| 1.6735 | 0.61 | 1500 | 1.5777 |
| 1.6686 | 0.82 | 2000 | 1.5726 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- License
- mit
- Created
- Apr 9, 2024
- Updated
- Apr 12, 2024