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--- |
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license: mit |
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base_model: BogdanTurbal/model_gpt2_medium_d_political_bias_ep_1_sqn_a_p_100_v_11 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: model_gpt2_medium_d_political_bias_hate_bias_ep_1_3_a_sqn_a_b_p_100_5_v_11 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# model_gpt2_medium_d_political_bias_hate_bias_ep_1_3_a_sqn_a_b_p_100_5_v_11 |
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This model is a fine-tuned version of [BogdanTurbal/model_gpt2_medium_d_political_bias_ep_1_sqn_a_p_100_v_11](https://huggingface.co/BogdanTurbal/model_gpt2_medium_d_political_bias_ep_1_sqn_a_p_100_v_11) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6665 |
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- Accuracy: 0.8306 |
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- F1 Micro: 0.8306 |
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- Auc: 0.9135 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | Auc | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:------:| |
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| 1.2003 | 0.2632 | 10 | 0.9105 | 0.5099 | 0.5099 | 0.6179 | |
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| 0.706 | 0.5263 | 20 | 0.6271 | 0.6661 | 0.6661 | 0.7414 | |
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| 0.5644 | 0.7895 | 30 | 0.6324 | 0.7245 | 0.7245 | 0.8714 | |
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| 0.6951 | 1.0526 | 40 | 1.2089 | 0.6982 | 0.6982 | 0.8885 | |
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| 0.5193 | 1.3158 | 50 | 0.4731 | 0.8043 | 0.8043 | 0.9025 | |
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| 0.4362 | 1.5789 | 60 | 0.5781 | 0.7278 | 0.7278 | 0.8981 | |
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| 0.3432 | 1.8421 | 70 | 0.4461 | 0.7985 | 0.7985 | 0.9110 | |
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| 0.1877 | 2.1053 | 80 | 0.4417 | 0.8199 | 0.8199 | 0.9107 | |
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| 0.1681 | 2.3684 | 90 | 0.5411 | 0.8150 | 0.8150 | 0.9077 | |
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| 0.1213 | 2.6316 | 100 | 0.5569 | 0.8174 | 0.8174 | 0.9087 | |
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| 0.1969 | 2.8947 | 110 | 0.5222 | 0.8191 | 0.8191 | 0.9090 | |
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| 0.0464 | 3.1579 | 120 | 0.6640 | 0.8067 | 0.8067 | 0.9080 | |
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| 0.0454 | 3.4211 | 130 | 0.6253 | 0.8281 | 0.8281 | 0.9122 | |
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| 0.0351 | 3.6842 | 140 | 0.6577 | 0.8289 | 0.8289 | 0.9130 | |
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| 0.0219 | 3.9474 | 150 | 0.6665 | 0.8306 | 0.8306 | 0.9135 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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