rogue_llm

This model is a fine-tuned version of GeneZC/MiniChat-1.5-3B on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.9718

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: 0.0002
• train_batch_size: 12
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.9708	1.0	109	1.0519
1.0169	2.0	218	1.0048
0.9291	3.0	327	0.9689
0.8302	4.0	436	0.9539
0.7325	5.0	545	0.9718

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.36.2
• Pytorch 2.3.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2