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positive_1021_new
joyheyueya/positive_1021_new
positive_1021_new is a machine learning model from joyheyueya. 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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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- f54b52c7
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. -->
positive_1021_new
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5351
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6886 | 1.0 | 216 | 0.6143 |
| 0.6901 | 2.0 | 432 | 0.6046 |
| 0.5524 | 3.0 | 648 | 0.5351 |
| 0.3742 | 4.0 | 864 | 0.5783 |
| 0.2176 | 5.0 | 1080 | 0.7619 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024