uzroberta-panx-uz
This model is a fine-tuned version of rifkat/uztext-3Gb-BPE-Roberta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1626
- F1: 0.9175
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.0515 | 1.0 | 150 | 0.1373 | 0.9141 |
0.0415 | 2.0 | 300 | 0.1268 | 0.9194 |
0.0101 | 3.0 | 450 | 0.1225 | 0.9416 |
0.0038 | 4.0 | 600 | 0.1426 | 0.9353 |
0.0004 | 5.0 | 750 | 0.1458 | 0.9320 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.12.1
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