duongdqq/chexagent-8b-instruct-trl-sft-ChartQA-24012025_template3

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

chexagent-8b-instruct-trl-sft-ChartQA-24012025_template3

This model is a fine-tuned version of StanfordAIMI/CheXagent-8b on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2118

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 8

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.46.3
• —Pytorch 2.4.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3