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

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

chexagent-8b-instruct-trl-sft-ChartQA-24012025_test is a machine learning model from duongdqq. 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.

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

Downloads · 30 days

22% of all-time downloads

All-time downloads

Public

Repo size

109 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors13.7 MB · 80%

At a glance

Library: peft
Access: Public
Created: Jan 24, 2025
Updated: Jan 24, 2025
SHA: 2cad5e58

Base models

StanfordAIMI/CheXagent-8b

Model card

From the Hugging Face model README

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

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: 4.0456

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: 8
total_train_batch_size: 8
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	7.9586
No log	2.0	2	7.3588
No log	3.0	3	6.6116
No log	4.0	4	5.9511
No log	5.0	5	5.4401
No log	6.0	6	4.9619
No log	7.0	7	4.4922
No log	8.0	8	4.0456

Framework versions

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

Library: peft
Created: Jan 24, 2025
Updated: Jan 24, 2025