d1d34a74-231c-4bb2-a62e-71ca125b0de6

This model is a fine-tuned version of NousResearch/Yarn-Llama-2-13b-64k on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0845

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	0.0002	1	1.6008
3.122	0.0081	50	1.3077
3.2553	0.0162	100	1.2733
3.1096	0.0244	150	1.2733
2.8529	0.0325	200	1.2304
2.9237	0.0406	250	1.1833
3.2183	0.0487	300	1.1459
3.2572	0.0568	350	1.1140
2.8133	0.0650	400	1.0890
2.8288	0.0731	450	1.0843
3.1508	0.0812	500	1.0845

Framework versions

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