tinyllama_instruct

This model is a fine-tuned version of tinyllama/tinyllama-1.1b-intermediate-step-1431k-3t on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.3383

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
1.4051	0.0704	300	1.3383

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1