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swadhindas324/
vit-resnet-Mistral-RSICD-without-captioning

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

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vit-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:

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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	1.2887	79.76	0.4667	0.3026	0.2114	0.1536	0.4084	0.3974	0.4796
1.5992	2.0	1536	1.2363	79.46	0.6192	0.4797	0.3803	0.3051	0.6187	0.5594	1.4971
0.8374	3.0	2304	1.2232	81.12	0.6701	0.5450	0.4535	0.3812	0.6651	0.6151	2.0863
0.6004	4.0	3072	1.3637	81.23	0.6497	0.5194	0.4264	0.3566	0.6317	0.5895	1.9473
0.6004	5.0	3840	1.4562	80.42	0.6183	0.4829	0.3908	0.3225	0.5940	0.5471	1.6977
0.4218	6.0	4608	1.5248	81.13	0.6281	0.5004	0.4114	0.3448	0.6080	0.5694	1.8229
0.3469	7.0	5376	1.6350	81.47	0.6318	0.5015	0.4077	0.3377	0.6178	0.5670	1.7947
0.3105	8.0	6144	1.6545	81.45	0.6169	0.4800	0.3863	0.3200	0.5836	0.5397	1.7724