tcarwash/tinyllama-instruct

mistral_instruct_generation

This model is a fine-tuned version of PY007/TinyLlama-1.1B-step-50K-105b on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.4544

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: 4
• 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: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.8114	0.1504	20	1.6254
1.7672	0.3008	40	1.5598
1.7203	0.4511	60	1.5108
1.6804	0.6015	80	1.4726
1.6322	0.7519	100	1.4544

Framework versions

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