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mmodel_v7
isergazin/mmodel_v7
mmodel_v7 is a text classification model from isergazin. 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
- bert
- Access
- Public
- Created
- Dec 13, 2024
- Updated
- Dec 13, 2024
- SHA
- 4beb4b76
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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. -->
mmodel_v7
This model is a fine-tuned version of ai-forever/ruBert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4323
- Accuracy: 0.9040
- F1: 0.9015
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.517 | 1.0 | 1523 | 0.4415 | 0.8809 | 0.8692 |
| 0.3514 | 2.0 | 3046 | 0.4008 | 0.8953 | 0.8870 |
| 0.2396 | 3.0 | 4569 | 0.3796 | 0.9034 | 0.9010 |
| 0.1594 | 4.0 | 6092 | 0.3798 | 0.9065 | 0.9034 |
| 0.1006 | 5.0 | 7615 | 0.4323 | 0.9040 | 0.9015 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 13, 2024
- Updated
- Dec 13, 2024