metadata

license: mit
base_model: BogdanTurbal/model_gpt2_medium_d_political_bias_ep_1_sqn_a_p_100_v_11
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: model_gpt2_medium_d_political_bias_hate_bias_ep_1_3_a_sqn_a_b_p_100_5_v_11
    results: []

model_gpt2_medium_d_political_bias_hate_bias_ep_1_3_a_sqn_a_b_p_100_5_v_11

This model is a fine-tuned version of BogdanTurbal/model_gpt2_medium_d_political_bias_ep_1_sqn_a_p_100_v_11 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6665
Accuracy: 0.8306
F1 Micro: 0.8306
Auc: 0.9135

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Micro	Auc
1.2003	0.2632	10	0.9105	0.5099	0.5099	0.6179
0.706	0.5263	20	0.6271	0.6661	0.6661	0.7414
0.5644	0.7895	30	0.6324	0.7245	0.7245	0.8714
0.6951	1.0526	40	1.2089	0.6982	0.6982	0.8885
0.5193	1.3158	50	0.4731	0.8043	0.8043	0.9025
0.4362	1.5789	60	0.5781	0.7278	0.7278	0.8981
0.3432	1.8421	70	0.4461	0.7985	0.7985	0.9110
0.1877	2.1053	80	0.4417	0.8199	0.8199	0.9107
0.1681	2.3684	90	0.5411	0.8150	0.8150	0.9077
0.1213	2.6316	100	0.5569	0.8174	0.8174	0.9087
0.1969	2.8947	110	0.5222	0.8191	0.8191	0.9090
0.0464	3.1579	120	0.6640	0.8067	0.8067	0.9080
0.0454	3.4211	130	0.6253	0.8281	0.8281	0.9122
0.0351	3.6842	140	0.6577	0.8289	0.8289	0.9130
0.0219	3.9474	150	0.6665	0.8306	0.8306	0.9135

Framework versions

Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1