truthlens-liar2-model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5732
- Accuracy: 0.3436
- Precision Macro: 0.3206
- Recall Macro: 0.2872
- F1 Macro: 0.2856
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5278 | 1.0 | 1149 | 1.5645 | 0.3461 |
| 1.4186 | 2.0 | 2298 | 1.5940 | 0.3509 |
| 1.0683 | 3.0 | 3447 | 1.7490 | 0.3300 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
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Model tree for Sree6464/truthlens-liar2-model
Base model
distilbert/distilbert-base-uncased