model_google_gemma_2_7b_d_political_bias_political_bias_ep_1_a_sqn_a_b_p_100_10_v_3
This model is a fine-tuned version of google/gemma-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6870
- Balanced Accuracy: 0.7292
- Accuracy: 0.7295
- F1 Micro: 0.7295
- F1 Macro: 0.7287
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: 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: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | F1 Micro | F1 Macro |
---|---|---|---|---|---|---|---|
0.9154 | 1.0 | 113 | 0.7670 | 0.6788 | 0.6795 | 0.6795 | 0.6748 |
0.4714 | 2.0 | 226 | 0.6870 | 0.7292 | 0.7295 | 0.7295 | 0.7287 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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