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flaubert_base_fine_tunned_themas_balanced
dev-senolys/flaubert_base_fine_tunned_themas_balanced
flaubert_base_fine_tunned_themas_balanced is a text classification model from dev-senolys. 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
- flaubert
- Access
- Public
- Created
- Jun 12, 2023
- Updated
- Jun 12, 2023
- SHA
- 89026ad1
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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. -->
flaubert_base_fine_tunned_themas_balanced
This model is a fine-tuned version of flaubert/flaubert_base_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6663
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 116 | 2.3872 |
| No log | 2.0 | 232 | 1.9087 |
| No log | 3.0 | 348 | 1.6663 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- flaubert
- License
- mit
- Created
- Jun 12, 2023
- Updated
- Jun 12, 2023