public-finance-llama2

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.6030

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	1.9765
No log	2.0	6	1.8747
No log	3.0	9	1.7229
2.0307	4.0	12	1.6248
2.0307	5.0	15	1.6030

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2