b6517a65-a5a0-464c-904c-fda8d07f87b2

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: 11.7310

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: 0.000201
• 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
11.7386	0.0583	50	11.7464
11.7345	0.1166	100	11.7421
11.7294	0.1749	150	11.7398
11.7288	0.2332	200	11.7372
11.7259	0.2915	250	11.7359
11.7248	0.3499	300	11.7337
11.7234	0.4082	350	11.7331
11.7217	0.4665	400	11.7315
11.7236	0.5248	450	11.7313
11.7218	0.5831	500	11.7310

Framework versions

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