30bd15e2-188a-4716-b724-50629f8feba5

This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8025

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: 0.000206
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0002	1	1.1244
0.925	0.0115	50	0.8847
0.8731	0.0230	100	0.8611
0.848	0.0345	150	0.8501
0.8569	0.0459	200	0.8400
0.8783	0.0574	250	0.8262
0.8554	0.0689	300	0.8177
0.8186	0.0804	350	0.8114
0.8498	0.0919	400	0.8052
0.816	0.1034	450	0.8037
0.8017	0.1149	500	0.8025

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1