d6862033-733a-4693-9a59-d9d557215afb

This model is a fine-tuned version of WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8464

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: 0.000201
• 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	1.0445
0.9675	0.0085	50	0.9051
0.8815	0.0169	100	0.8867
0.8602	0.0254	150	0.8745
0.8663	0.0338	200	0.8689
0.8738	0.0423	250	0.8595
0.8367	0.0507	300	0.8545
0.8283	0.0592	350	0.8505
0.8532	0.0676	400	0.8476
0.855	0.0761	450	0.8465
0.8491	0.0845	500	0.8464

Framework versions

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