flaubert_base_fine_tunned_categories_weight
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: 1.8164
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 | 127 | 2.4070 |
| No log | 2.0 | 254 | 1.7761 |
| No log | 3.0 | 381 | 1.8164 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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