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my_model
dvinodwagh/my_model
my_model is a text classification model from dvinodwagh. 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
- Feb 7, 2024
- Updated
- Feb 9, 2024
- SHA
- d85c0d4a
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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. -->
my_model
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6561
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0481 | 1.0 | 638 | 1.7660 |
| 1.3097 | 2.0 | 1276 | 1.6561 |
| 1.3712 | 3.0 | 1914 | 1.6632 |
| 1.7868 | 4.0 | 2552 | 1.6640 |
| 1.3863 | 5.0 | 3190 | 1.7156 |
| 1.488 | 6.0 | 3828 | 1.7067 |
| 1.4615 | 7.0 | 4466 | 1.7098 |
| 1.853 | 8.0 | 5104 | 1.7113 |
| 1.574 | 9.0 | 5742 | 1.7162 |
| 2.0823 | 10.0 | 6380 | 1.7148 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 7, 2024
- Updated
- Feb 9, 2024