norllm-ai-normistral-7b-sft-qlora

This model is a fine-tuned version of NorLLM-AI/NorMistral-7B on the hugodk-sch/aftonposten_title_sft dataset. It achieves the following results on the evaluation set:

• Loss: 1.4403

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.7274	1.0	274	1.9432
1.1514	2.0	549	1.7111
0.645	3.0	823	1.5109
0.4291	4.0	1098	1.4415
0.3392	4.99	1370	1.4403

Framework versions

• PEFT 0.10.0
• Transformers 4.39.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.1