model_bert_large_cased_d_political_bias_ep_2_sqn_a_p_100_v_15

This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4979
• Accuracy: 0.8101
• F1 Micro: 0.8101
• Auc: 0.8899

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: 5e-05
• train_batch_size: 32
• 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	Accuracy	F1 Micro	Auc
0.4921	1.0	364	0.4610	0.7809	0.7809	0.8659
0.2376	2.0	728	0.4979	0.8101	0.8101	0.8899

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1