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cc-rank-large
0x7o/cc-rank-large
cc-rank-large is a text classification model from 0x7o. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024
- SHA
- 8a43c91d
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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. -->
cc-rank-large
This model is a fine-tuned version of ai-forever/ruBert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8567
- Accuracy: 0.7972
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6389 | 0.5666 | 200 | 0.5407 | 0.7191 |
| 0.4392 | 1.1331 | 400 | 0.4775 | 0.7929 |
| 0.2205 | 1.6997 | 600 | 0.6664 | 0.7759 |
| 0.1778 | 2.2663 | 800 | 1.0319 | 0.7858 |
| 0.1502 | 2.8329 | 1000 | 0.8464 | 0.7986 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024