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results
camidenecken/results
results is a text classification model from camidenecken. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 28, 2024
- Updated
- Oct 21, 2024
- SHA
- a2473328
Try a prompt
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. -->
results
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8726
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: 8
- eval_batch_size: 16
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3494 | 1.0 | 1000 | 0.6891 |
| 0.2101 | 2.0 | 2000 | 0.6781 |
| 0.124 | 3.0 | 3000 | 0.7287 |
| 0.1266 | 4.0 | 4000 | 0.7755 |
| 0.0806 | 5.0 | 5000 | 0.7850 |
| 0.0512 | 6.0 | 6000 | 0.8287 |
| 0.0291 | 7.0 | 7000 | 0.8726 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 28, 2024
- Updated
- Oct 21, 2024