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roberta_nba_v2
sivakarri/roberta_nba_v2
roberta_nba_v2 is a text classification model from sivakarri. 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
- Jul 1, 2024
- Updated
- Jul 1, 2024
- SHA
- b410cb22
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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. -->
roberta_nba_v2
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8231
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: 8
- eval_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4838 | 1.0 | 193 | 0.5098 |
| 0.4339 | 2.0 | 386 | 0.5224 |
| 0.3639 | 3.0 | 579 | 0.5431 |
| 0.4189 | 4.0 | 772 | 0.4780 |
| 0.3729 | 5.0 | 965 | 0.6443 |
| 0.1509 | 6.0 | 1158 | 0.6412 |
| 0.0923 | 7.0 | 1351 | 0.7526 |
| 0.0256 | 8.0 | 1544 | 0.7852 |
| 0.1447 | 9.0 | 1737 | 0.8347 |
| 0.0011 | 10.0 | 1930 | 0.8231 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024