pls_work
This model is a fine-tuned version of onlplab/alephbert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3127
- Accuracy: 0.8789
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 451 | 0.3080 | 0.8756 |
| 0.3776 | 2.0 | 902 | 0.3127 | 0.8789 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ofirofir99/pls_work
Base model
onlplab/alephbert-base