financial_analyst_finetune

GoldenSnitch12/financial_analyst_finetune

financial_analyst_finetune is a machine learning model from GoldenSnitch12. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: llama2
Access: Public
Created: Sep 3, 2024
Updated: Sep 3, 2024
SHA: 2230c349

Base models

togethercomputer/Llama-2-7B-32K-Instruct

Model card

From the Hugging Face model README

financial_analyst_finetune

This model is a fine-tuned version of togethercomputer/Llama-2-7B-32K-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0523

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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0548	0.6667	100	0.1204
0.0939	1.3333	200	0.0675
0.0555	2.0	300	0.0523

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Sep 3, 2024
Updated: Sep 3, 2024