1649dba7-1a89-4551-b6c9-802d941285ce

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: 11.7296

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: 0.000202
• 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	0.0012	1	11.7627
11.7393	0.0583	50	11.7466
11.7345	0.1166	100	11.7421
11.7299	0.1749	150	11.7394
11.7276	0.2332	200	11.7361
11.7252	0.2915	250	11.7340
11.7251	0.3499	300	11.7328
11.7237	0.4082	350	11.7311
11.7209	0.4665	400	11.7301
11.7219	0.5248	450	11.7299
11.7221	0.5831	500	11.7296

Framework versions

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