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roberta-reranker-f-cf-ipcc
iestynmullinor/roberta-reranker-f-cf-ipcc
roberta-reranker-f-cf-ipcc is a text classification model from iestynmullinor. 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
- Mar 12, 2024
- Updated
- Mar 12, 2024
- SHA
- d3555e0b
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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-reranker-f-cf-ipcc
This model is a fine-tuned version of iestynmullinor/roberta-reranker-f-cf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3700
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5845 | 1.0 | 72 | 0.8640 |
| 0.9196 | 2.0 | 144 | 0.7450 |
| 0.5957 | 3.0 | 216 | 0.5203 |
| 0.5305 | 4.0 | 288 | 0.3700 |
| 0.4198 | 5.0 | 360 | 0.4345 |
| 0.3221 | 6.0 | 432 | 0.4126 |
| 0.3499 | 7.0 | 504 | 0.4262 |
| 0.173 | 8.0 | 576 | 0.5862 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024