llama3_8B_finance_qa

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.2556

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1517	1.0	5542	1.2088
1.0983	2.0	11084	1.2199
0.9158	3.0	16626	1.2556

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.36.2
• Pytorch 2.2.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2