You can deploy this model and start earning money today!

swadhindas324/
resnet-Mistral-RSICD-without-captioning

Name: resnet-Mistral-RSICD-without-captioning
Availability: InStock

Views

No views yet

resnet-Mistral-RSICD-without-captioning

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 50
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 128
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Bleu-1	Bleu-2	Bleu-3	Bleu-4	Meteor	Rouge-l	Cider
No log	1.0	768	1.4061	82.65	0.5036	0.3424	0.2502	0.1903	0.4546	0.4403	0.7049
2.3492	2.0	1536	1.3189	79.85	0.5796	0.4327	0.3329	0.2610	0.5539	0.5180	1.2374
0.8899	3.0	2304	1.3039	81.73	0.6458	0.5136	0.4197	0.3491	0.6192	0.5765	1.9040
0.6509	4.0	3072	1.4074	80.46	0.5811	0.4413	0.3488	0.2815	0.5618	0.5164	1.4791
0.6509	5.0	3840	1.4987	80.8	0.6079	0.4679	0.3707	0.2993	0.5801	0.5366	1.5093
0.4869	6.0	4608	1.5561	81.42	0.6178	0.4827	0.3876	0.3188	0.5972	0.5529	1.7118
0.4182	7.0	5376	1.6325	80.44	0.5808	0.4495	0.3574	0.2922	0.5724	0.5214	1.5221
0.3774	8.0	6144	1.6785	81.18	0.5736	0.4319	0.3396	0.2759	0.5344	0.4954	1.4771