Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
blip2-chartqa-finetuned-v6 – AI Model by vlaaa13 | AlphaNeural AI
You can deploy this model and start earning money today!
vlaaa13
/
blip2-chartqa-finetuned-v6
like
0
peft
safetensors
adapter
lora
transformers
Salesforce/blip2-opt-2.7b
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
blip2-chartqa-finetuned-v6
This model is a fine-tuned version of
Salesforce/blip2-opt-2.7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.6338
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
38.3648
0.8
100
4.8906
34.1364
1.6
200
4.6974
33.6514
2.4
300
4.6338
Framework versions
PEFT 0.18.0
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
