google-electra-base-discriminator-pan-clef-subtask2
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1759
- Micro F1: 0.5964
- Macro F1: 0.6303
- Macro Recall: 0.8066
- Accuracy: 0.5964
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | Macro Recall | Accuracy |
---|---|---|---|---|---|---|---|
0.142 | 1.0 | 4515 | 3.1621 | 0.5823 | 0.6208 | 0.8062 | 0.5823 |
0.0572 | 1.9997 | 9028 | 3.1759 | 0.5964 | 0.6303 | 0.8066 | 0.5964 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Downloads last month
- 4
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
Model tree for omarwaleed523/google-electra-base-discriminator-pan-clef-subtask2
Base model
google/electra-base-discriminator