f3efe9e5-0483-461a-a1f2-dda804f44bfc

This model is a fine-tuned version of llamafactory/tiny-random-Llama-3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 11.6989

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	0.0000	1	11.7603
11.7235	0.0016	50	11.7388
11.7004	0.0033	100	11.7237
11.6812	0.0049	150	11.7155
11.6724	0.0066	200	11.7087
11.6684	0.0082	250	11.7047
11.6699	0.0098	300	11.7018
11.6698	0.0115	350	11.7002
11.6597	0.0131	400	11.6993
11.6519	0.0148	450	11.6989
11.6638	0.0164	500	11.6989

Framework versions

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