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Vrjb/
BLIP_Captioning

Name: BLIP_Captioning
Rating: 2.5 (5 reviews)

generated_from_trainer

Salesforce/blip-image-captioning-base

finetune

bsd-3-clause

endpoints_compatible

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BLIP_Captioning

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

Loss: 1.3617
Bleu: 1.0

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: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.3635	1.0	779	1.3968	1.0
1.3618	2.0	1558	1.3618	1.0
1.3617	3.0	2337	1.3617	1.0

Framework versions

Transformers 4.55.4
Pytorch 2.7.1+cu118
Datasets 4.1.1
Tokenizers 0.21.4

Vrjb/BLIP_Captioning

BLIP_Captioning

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Vrjb/
BLIP_Captioning