train_output_dir

This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.5212

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
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.9653	0.1575	20	1.9348
1.853	0.3150	40	1.7662
1.6943	0.4724	60	1.6475
1.6361	0.6299	80	1.5510
1.6067	0.7874	100	1.5212

Framework versions

• PEFT 0.11.1
• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1