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smaug_part1_v2
olipol/smaug_part1_v2
smaug_part1_v2 is a text classification model from olipol. 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
- Dec 13, 2024
- Updated
- Dec 13, 2024
- SHA
- 31d0cbb4
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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. -->
smaug_part1_v2
This model is a fine-tuned version of dkleczek/bert-base-polish-cased-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0312 | 1.0 | 662 | 0.0291 |
| 0.0057 | 2.0 | 1324 | 0.0001 |
| 0.0007 | 3.0 | 1986 | 0.1799 |
| 0.0007 | 4.0 | 2648 | 0.0000 |
| 0.0 | 5.0 | 3310 | 0.0000 |
| 0.0 | 6.0 | 3972 | 0.0000 |
| 0.0 | 7.0 | 4634 | 0.0000 |
| 0.0 | 8.0 | 5296 | 0.0000 |
| 0.0 | 9.0 | 5958 | 0.0000 |
| 0.0 | 10.0 | 6620 | 0.0000 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 13, 2024
- Updated
- Dec 13, 2024