Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
idefics2-finetuned-re-id – AI Model by pallavibiswas | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
pallavibiswas
/
idefics2-finetuned-re-id
like
0
safetensors
idefics2
generated_from_trainer
HuggingFaceM4/idefics2-8b
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
idefics2-finetuned-re-id
This model is a fine-tuned version of
HuggingFaceM4/idefics2-8b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0812
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.081
1.0
588
0.0822
0.0701
2.0
1176
0.0812
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
