You can deploy this model and start earning money today!

raku10-ghimire/
nepali_caption_model_output

Name: nepali_caption_model_output
Availability: InStock

generated_from_trainer

Salesforce/blip-image-captioning-base

finetune

bsd-3-clause

endpoints_compatible

Views

No views yet

nepali_caption_model_output

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: 1.5684

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: 8
seed: 42
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
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0445	1.0	450	1.0425
1.0711	2.0	900	0.9059
0.8319	3.0	1350	0.8620
0.6918	4.0	1800	0.8389
0.6192	5.0	2250	0.8225
0.4972	6.0	2700	0.8493
0.4747	7.0	3150	0.9033
0.3015	8.0	3600	0.9647
0.2784	9.0	4050	1.0026
0.2438	10.0	4500	1.0574
0.1858	11.0	4950	1.1057
0.1774	12.0	5400	1.1493
0.1633	13.0	5850	1.1878
0.1348	14.0	6300	1.2216
0.1203	15.0	6750	1.2924
0.1047	16.0	7200	1.2917
0.0939	17.0	7650	1.3597
0.0796	18.0	8100	1.3927
0.0640	19.0	8550	1.4168
0.0510	20.0	9000	1.4512
0.0386	21.0	9450	1.4840
0.0339	22.0	9900	1.5199
0.0194	23.0	10350	1.5498
0.0137	24.0	10800	1.5665
0.0152	25.0	11250	1.5684

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

raku10-ghimire/nepali_caption_model_output

nepali_caption_model_output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raku10-ghimire/
nepali_caption_model_output