6f5d86ab-2ce6-4674-ba85-21d2631b0c18

This model is a fine-tuned version of HuggingFaceH4/tiny-random-LlamaForCausalLM on the None dataset. It achieves the following results on the evaluation set:

• Loss: 10.2322

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: 0.000208
• 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	0.0010	1	10.3632
10.3202	0.0490	50	10.3117
10.2512	0.0980	100	10.2527
10.2308	0.1470	150	10.2414
10.23	0.1960	200	10.2369
10.2257	0.2450	250	10.2347
10.2243	0.2940	300	10.2336
10.2209	0.3430	350	10.2331
10.2242	0.3920	400	10.2324
10.2243	0.4410	450	10.2322
10.2252	0.4900	500	10.2322

Framework versions

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