a16cd19d-b721-41ad-bbf4-3125ce4efba7

This model is a fine-tuned version of NousResearch/Yarn-Solar-10b-64k on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4774

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• 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	0.0001	1	0.7124
1.0894	0.0051	50	0.5823
0.9672	0.0102	100	0.5517
0.9041	0.0154	150	0.5492
0.9486	0.0205	200	0.5230
0.9403	0.0256	250	0.5128
0.7996	0.0307	300	0.5034
0.8712	0.0358	350	0.4902
0.8643	0.0410	400	0.4813
0.8428	0.0461	450	0.4782
0.8142	0.0512	500	0.4774

Framework versions

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