RM-TLDR_human_loraR64_-1_gemma7b_lr1.41e-05_bs2_g4

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: 0.5504
• Accuracy: 0.7435

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: 1.41e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4935	1.0	11168	0.5452	0.7435
0.4459	2.0	22336	0.5504	0.7435

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.1.2+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1