f80d667b-0fcd-4260-b5ef-3252054fd41d

This model is a fine-tuned version of NousResearch/Yarn-Llama-2-7b-128k on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6958

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: 0.000202
• train_batch_size: 4
• eval_batch_size: 4
• seed: 20
• 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	0.0003	1	1.0495
2.0044	0.0145	50	0.8972
1.8537	0.0290	100	0.8503
1.8058	0.0435	150	0.8177
1.7466	0.0580	200	0.7854
1.721	0.0726	250	0.7668
1.7527	0.0871	300	0.7426
1.657	0.1016	350	0.7210
1.487	0.1161	400	0.7037
1.5267	0.1306	450	0.6966
1.5638	0.1451	500	0.6958

Framework versions

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