llama3-chat_QA-test

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0283

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: 16
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.0046	0.2928	100	1.8727
1.7686	0.5857	200	1.8637
1.6753	0.8785	300	1.8871
1.5211	1.1713	400	1.9180
1.4003	1.4641	500	1.9352
1.3533	1.7570	600	1.9609
1.2794	2.0498	700	2.0143
1.1736	2.3426	800	2.0222
1.1609	2.6354	900	2.0301
1.1577	2.9283	1000	2.0283

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1