model_gpt2_d_political_bias_political_bias_ep_1_3_a_sqn_a_b_p_100_5_v_4
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6362
- Balanced Accuracy: 0.6839
- Accuracy: 0.6838
- F1 Micro: 0.6838
- F1 Macro: 0.6838
- Precision Micro: 0.6838
- Precision Macro: 0.6842
- Recall Micro: 0.6838
- Recall Macro: 0.6839
- Auc: 0.7739
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | F1 Micro | F1 Macro | Precision Micro | Precision Macro | Recall Micro | Recall Macro | Auc |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.7145 | 1.0 | 37 | 0.5890 | 0.6821 | 0.6821 | 0.6821 | 0.6820 | 0.6821 | 0.6822 | 0.6821 | 0.6821 | 0.7559 |
0.6294 | 2.0 | 74 | 0.5840 | 0.6886 | 0.6881 | 0.6881 | 0.6858 | 0.6881 | 0.6948 | 0.6881 | 0.6886 | 0.7738 |
0.3956 | 3.0 | 111 | 0.6362 | 0.6839 | 0.6838 | 0.6838 | 0.6838 | 0.6838 | 0.6842 | 0.6838 | 0.6839 | 0.7739 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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