12bee3f2-4bac-462c-bc05-f7963b62e4ce

This model is a fine-tuned version of NousResearch/Yarn-Solar-10b-32k on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2161

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: 0.00021
• 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	0.0008	1	1.5034
2.8422	0.0408	50	1.4272
2.8815	0.0816	100	1.4594
2.8007	0.1224	150	1.4236
2.7045	0.1632	200	1.4005
2.683	0.2040	250	1.3466
2.6662	0.2448	300	1.3094
2.5611	0.2856	350	1.2597
2.3228	0.3264	400	1.2320
2.5241	0.3672	450	1.2170
2.4413	0.4080	500	1.2161

Framework versions

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