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roberta_nba_v1
sivakarri/roberta_nba_v1
roberta_nba_v1 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
- Jun 28, 2024
- Updated
- Jun 29, 2024
- SHA
- 4ae51e68
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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_v1
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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 |
|---|---|---|---|
| 0.1925 | 1.0 | 36 | 0.1997 |
| 0.1161 | 2.0 | 72 | 0.1567 |
| 0.0247 | 3.0 | 108 | 0.0029 |
| 0.001 | 4.0 | 144 | 0.0006 |
| 0.0005 | 5.0 | 180 | 0.0004 |
| 0.0002 | 6.0 | 216 | 0.0002 |
| 0.0003 | 7.0 | 252 | 0.0002 |
| 0.0002 | 8.0 | 288 | 0.0001 |
| 0.0001 | 9.0 | 324 | 0.0001 |
| 0.0001 | 10.0 | 360 | 0.0001 |
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
- Jun 28, 2024
- Updated
- Jun 29, 2024