model_gpt2_medium_d_hate_bias_gender_bias_ep_1_3_a_sqn_a_b_p_100_5_v_10
This model is a fine-tuned version of BogdanTurbal/model_gpt2_medium_d_hate_bias_ep_1_sqn_a_p_100_v_10 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5318
- Accuracy: 0.8094
- F1 Micro: 0.8094
- Auc: 0.8893
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 | Accuracy | F1 Micro | Auc |
---|---|---|---|---|---|---|
0.7154 | 0.2632 | 10 | 0.5836 | 0.7107 | 0.7107 | 0.7877 |
0.5468 | 0.5263 | 20 | 0.4656 | 0.7600 | 0.7600 | 0.8604 |
0.5718 | 0.7895 | 30 | 0.6216 | 0.7132 | 0.7132 | 0.8466 |
0.667 | 1.0526 | 40 | 0.4411 | 0.7818 | 0.7818 | 0.8615 |
0.4276 | 1.3158 | 50 | 0.4333 | 0.7910 | 0.7910 | 0.8627 |
0.3281 | 1.5789 | 60 | 0.4602 | 0.7834 | 0.7834 | 0.8727 |
0.3173 | 1.8421 | 70 | 0.4425 | 0.7985 | 0.7985 | 0.8788 |
0.2821 | 2.1053 | 80 | 0.4833 | 0.7893 | 0.7893 | 0.8838 |
0.1931 | 2.3684 | 90 | 0.4697 | 0.8094 | 0.8094 | 0.8857 |
0.1288 | 2.6316 | 100 | 0.5072 | 0.8018 | 0.8018 | 0.8891 |
0.1175 | 2.8947 | 110 | 0.5318 | 0.8094 | 0.8094 | 0.8893 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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