model_gpt2_d_hate_bias_gender_bias_ep_1_a_sqn_a_b_p_100_3_v_9
This model is a fine-tuned version of BogdanTurbal/model_gpt2_d_hate_bias_ep_1_sqn_a_p_100_v_9 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5347
- Balanced Accuracy: 0.7598
- Accuracy: 0.7617
- F1 Micro: 0.7617
- F1 Macro: 0.7579
- Precision Micro: 0.7617
- Precision Macro: 0.7746
- Recall Micro: 0.7617
- Recall Macro: 0.7598
- Auc: 0.8338
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: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | F1 Micro | F1 Macro | Precision Micro | Precision Macro | Recall Micro | Recall Macro | Auc |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.8352 | 1.0 | 45 | 0.5972 | 0.6950 | 0.6965 | 0.6965 | 0.6936 | 0.6965 | 0.7014 | 0.6965 | 0.6950 | 0.7645 |
0.4604 | 2.0 | 90 | 0.5214 | 0.7469 | 0.7492 | 0.7492 | 0.7436 | 0.7492 | 0.7675 | 0.7492 | 0.7469 | 0.8211 |
0.395 | 3.0 | 135 | 0.5395 | 0.7542 | 0.7567 | 0.7567 | 0.7502 | 0.7567 | 0.7804 | 0.7567 | 0.7542 | 0.8303 |
0.3453 | 4.0 | 180 | 0.5347 | 0.7598 | 0.7617 | 0.7617 | 0.7579 | 0.7617 | 0.7746 | 0.7617 | 0.7598 | 0.8338 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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