Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
chexagent-8b-instruct-trl-sft-ChartQA-24012025_test – AI Model by duongdqq | AlphaNeural AI
You can deploy this model and start earning money today!
duongdqq
/
chexagent-8b-instruct-trl-sft-ChartQA-24012025_test
like
0
peft
safetensors
trl
sft
generated_from_trainer
StanfordAIMI/CheXagent-8b
adapter
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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
