8915c3ad-e4aa-446e-aaf0-b7df16a9dbea

This model is a fine-tuned version of huggyllama/llama-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7314

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• 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	1.2225
0.7859	0.0168	50	0.8936
0.7025	0.0336	100	0.8295
0.6255	0.0504	150	0.8096
0.6083	0.0672	200	0.7758
0.621	0.0840	250	0.7691
0.6135	0.1008	300	0.7583
0.5942	0.1175	350	0.7404
0.5733	0.1343	400	0.7354
0.6325	0.1511	450	0.7292
0.6317	0.1679	500	0.7314

Framework versions

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