blip-image-captioning-large-shyam

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