model_google_gemma_2_7b_d_gender_bias_ep_1_sqn_a_p_100_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: 0.3586
• Balanced Accuracy: 0.8466
• Accuracy: 0.8476
• F1 Micro: 0.8476
• F1 Macro: 0.8468

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Balanced Accuracy	Accuracy	F1 Micro	F1 Macro
0.0622	1.0	1162	0.3586	0.8466	0.8476	0.8476	0.8468

Framework versions

• PEFT 0.11.1
• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1