MLP-FinLLM-7b-it

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: 0.4445

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: 0.0025177606136092684
• train_batch_size: 32
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: polynomial
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.5449	1.22	50	0.7534
0.3165	2.44	100	0.5170
0.2331	3.66	150	0.4445

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2