This model is a fine-tuned version of Salesforce/blip-image-captioning-large on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.2169
Wer Score: 0.9091

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
6.7457	5.0	50	3.7819	0.9091
1.9042	10.0	100	0.6590	0.9091
0.3114	15.0	150	0.2169	0.9091

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

shyamgv/blip-image-captioning-large-shyam

blip-image-captioning-large-shyam

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shyamgv/
blip-image-captioning-large-shyam