mistral-magyar-portas-lora

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0117

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0323	0.3918	500	0.0634
0.0123	0.7837	1000	0.0131
0.0094	1.1755	1500	0.0121
0.0093	1.5674	2000	0.0120
0.0088	1.9592	2500	0.0111
0.0065	2.3511	3000	0.0119
0.0064	2.7429	3500	0.0117

Framework versions

• PEFT 0.7.1
• Transformers 4.40.2
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.19.1