adb6691b-5aa3-4e0a-9e9b-b517cdd966c5

This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2517

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: 0.000218
• 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	3.1149
2.7042	0.0083	50	2.7513
3.0109	0.0165	100	2.7991
2.5636	0.0248	150	2.7374
3.0321	0.0331	200	2.5573
2.8198	0.0413	250	2.4827
2.2206	0.0496	300	2.4009
2.9364	0.0578	350	2.2891
2.5913	0.0661	400	2.2623
2.5269	0.0744	450	2.2431
2.3284	0.0826	500	2.2517

Framework versions

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