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swadhindas324/
vit-convnext-mistral-SYDNEY-with-7-captioning

Name: vit-convnext-mistral-SYDNEY-with-7-captioning
Availability: InStock

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vit-convnext-mistral-SYDNEY-with-7-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	44	0.9239	65.45	0.5221	0.4007	0.3179	0.2470	0.4375	0.4554	0.8134
No log	2.0	88	0.5215	61.84	0.5480	0.4380	0.3590	0.2933	0.4270	0.4606	0.7265
No log	3.0	132	0.4502	66.52	0.6543	0.5547	0.4730	0.4049	0.5640	0.5849	1.5430
No log	4.0	176	0.4276	66.76	0.8011	0.7092	0.6203	0.5351	0.6996	0.6740	2.3340
No log	5.0	220	0.4074	66.41	0.7916	0.7076	0.6218	0.5317	0.7021	0.6556	2.1563
No log	6.0	264	0.4060	67.49	0.8119	0.7186	0.6328	0.5587	0.7203	0.7000	2.3177
No log	7.0	308	0.4056	67.41	0.8031	0.7353	0.6633	0.5974	0.7738	0.7457	2.5309
No log	8.0	352	0.3937	68.21	0.8238	0.7643	0.7121	0.6668	0.7900	0.7565	2.9485
No log	9.0	396	0.4158	68.55	0.7969	0.7194	0.6537	0.5937	0.7419	0.7222	2.6012
No log	10.0	440	0.4306	68.37	0.7789	0.6927	0.6216	0.5626	0.7199	0.6923	2.5526
No log	11.0	484	0.4363	68.91	0.8076	0.7332	0.6652	0.6020	0.7721	0.7386	2.5737
No log	12.0	528	0.4366	68.81	0.7876	0.6994	0.6212	0.5491	0.7387	0.7069	2.4242
No log	13.0	572	0.4297	66.9	0.8405	0.7700	0.6993	0.6301	0.7605	0.7226	2.7796
No log	14.0	616	0.4630	68.38	0.8094	0.7249	0.6513	0.5783	0.7395	0.7141	2.4979
No log	15.0	660	0.4626	67.92	0.7884	0.7121	0.6425	0.5752	0.7435	0.7051	2.4903
No log	16.0	704	0.4746	67.92	0.7929	0.7274	0.6786	0.6400	0.7573	0.7234	2.7586
No log	17.0	748	0.4716	68.09	0.8231	0.7562	0.6993	0.6492	0.7755	0.7378	2.6751
No log	18.0	792	0.4847	67.85	0.8161	0.7389	0.6612	0.5883	0.7470	0.7143	2.5167