sft_openassistant-guanaco

This model is a fine-tuned version of openai-community/gpt2 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 3.1064
• Accuracy: 0.0190

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: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.7182	0.01	3	3.1069	0.0190
3.3356	0.02	6	3.1068	0.0190
3.2158	0.03	9	3.1066	0.0190
3.4288	0.04	12	3.1065	0.0190
3.5899	0.04	15	3.1064	0.0190
3.6934	0.05	18	3.1064	0.0190

Framework versions

• PEFT 0.9.0
• Transformers 4.37.0
• Pytorch 2.0.0+cu118
• Datasets 2.16.1
• Tokenizers 0.15.1