blip-image-captioning-base-finetuned-25epoch-1e-4

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: 1.5782
• Wer Score: 0.3254
• Blue Score: 0.6634

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score	Blue Score
6.8732	1.01	35	3.2765	0.9105	0.0244
2.1287	2.03	70	1.7647	0.7923	0.1135
1.719	3.04	105	1.6799	0.6832	0.2382
1.6093	4.06	140	1.6328	0.5892	0.3339
1.5421	5.07	175	1.6058	0.5249	0.4004
1.4871	6.09	210	1.5880	0.4492	0.5001
1.4519	7.1	245	1.5773	0.4079	0.5568
1.4275	8.12	280	1.5694	0.3794	0.5908
1.4115	9.13	315	1.5696	0.3692	0.6075
1.3992	10.14	350	1.5649	0.3477	0.6326
1.3895	11.16	385	1.5662	0.3437	0.6424
1.3843	12.17	420	1.5694	0.3430	0.6402
1.3793	13.19	455	1.5692	0.3336	0.6553
1.3764	14.2	490	1.5710	0.3288	0.6571
1.3743	15.22	525	1.5711	0.3280	0.6631
1.373	16.23	560	1.5724	0.3269	0.6617
1.3715	17.25	595	1.5736	0.3241	0.6654
1.3704	18.26	630	1.5752	0.3271	0.6618
1.37	19.28	665	1.5758	0.3258	0.6629
1.3694	20.29	700	1.5768	0.3264	0.6627
1.3687	21.3	735	1.5767	0.3258	0.6640
1.3689	22.32	770	1.5775	0.3250	0.6636
1.3684	23.33	805	1.5780	0.3258	0.6636
1.3682	24.35	840	1.5782	0.3254	0.6634

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3