0175c9f0-e62c-49e0-b731-58d252def132

This model is a fine-tuned version of NousResearch/Nous-Capybara-7B-V1.9 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6142

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: 180
• 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	1.0449
2.0876	0.0036	50	0.8859
2.0853	0.0071	100	0.8739
1.8536	0.0107	150	0.8415
1.8146	0.0143	200	0.7965
1.8121	0.0179	250	0.7537
1.6786	0.0214	300	0.7169
1.6695	0.0250	350	0.6642
1.4859	0.0286	400	0.6375
1.5276	0.0321	450	0.6193
1.4107	0.0357	500	0.6142

Framework versions

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