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mmlw-retrieval-roberta-large-ft-1
mojuss/mmlw-retrieval-roberta-large-ft-1
mmlw-retrieval-roberta-large-ft-1 is a text classification model from mojuss. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024
- SHA
- 89c8146a
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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. -->
mmlw-retrieval-roberta-large-ft-1
This model is a fine-tuned version of sdadas/mmlw-retrieval-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3866
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0144 | 1.0 | 1250 | 0.9366 |
| 0.4727 | 2.0 | 2500 | 1.0235 |
| 0.4262 | 3.0 | 3750 | 1.0955 |
| 0.192 | 4.0 | 5000 | 1.1747 |
| 0.0798 | 5.0 | 6250 | 1.3866 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024