saiga_task_double_lora350

This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.6634

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: 0.0003
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 20
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 350

Training results

Training Loss	Epoch	Step	Validation Loss
1.5302	9.26	50	2.1777
1.0061	18.52	100	2.4897
0.5505	27.78	150	2.8614
0.2832	37.04	200	3.2451
0.1525	46.3	250	3.5339
0.1026	55.56	300	3.6407
0.0902	64.81	350	3.6634

Framework versions

• PEFT 0.10.0
• Transformers 4.36.2
• Pytorch 2.2.2+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2