76d949d8-ff82-4003-8274-4035b0c433c0

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

• Loss: 0.3068

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	0.0000	1	0.5075
0.5956	0.0018	50	0.3329
0.5248	0.0037	100	0.3308
0.621	0.0055	150	0.3238
0.5241	0.0073	200	0.3248
0.5128	0.0091	250	0.3218
0.4755	0.0110	300	0.3131
0.5323	0.0128	350	0.3106
0.5062	0.0146	400	0.3085
0.5111	0.0164	450	0.3071
0.504	0.0183	500	0.3068

Framework versions

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