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

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

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vit-resnet-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	0.9253	65.42	0.5086	0.3881	0.3076	0.2387	0.4156	0.4359	0.7656
No log	2.0	88	0.5313	60.73	0.5480	0.4380	0.3590	0.2933	0.4270	0.4606	0.7265
No log	3.0	132	0.4515	66.28	0.6628	0.5618	0.4774	0.4075	0.5778	0.5944	1.5554
No log	4.0	176	0.4277	66.49	0.7879	0.6920	0.5970	0.5045	0.7017	0.6727	2.2700
No log	5.0	220	0.4128	66.33	0.7958	0.7160	0.6328	0.5437	0.7152	0.6688	2.2272
No log	6.0	264	0.4084	68.08	0.8072	0.7219	0.6382	0.5628	0.7192	0.7065	2.2809
No log	7.0	308	0.4132	68.49	0.7899	0.7191	0.6464	0.5794	0.7586	0.7333	2.5528
No log	8.0	352	0.3998	67.72	0.8103	0.7393	0.6793	0.6261	0.7877	0.7538	2.8704
No log	9.0	396	0.4154	67.74	0.7965	0.7116	0.6388	0.5737	0.7209	0.6945	2.5272
No log	10.0	440	0.4390	68.35	0.7905	0.7037	0.6259	0.5552	0.7257	0.6997	2.4348
No log	11.0	484	0.4289	68.43	0.8040	0.7229	0.6589	0.6056	0.7549	0.7186	2.5857
No log	12.0	528	0.4266	69.02	0.8062	0.7269	0.6526	0.5871	0.7682	0.7449	2.5484
No log	13.0	572	0.4337	67.51	0.8380	0.7621	0.6821	0.6021	0.7625	0.7236	2.5728
No log	14.0	616	0.4508	68.15	0.7981	0.7219	0.6520	0.5873	0.7416	0.7159	2.6291
No log	15.0	660	0.4748	68.29	0.7682	0.6853	0.6111	0.5411	0.7270	0.6803	2.2590
No log	16.0	704	0.4439	69.37	0.8200	0.7547	0.6948	0.6397	0.7663	0.7438	2.6934
No log	17.0	748	0.4665	67.65	0.7992	0.7274	0.6592	0.5968	0.7517	0.7135	2.4986
No log	18.0	792	0.4675	67.64	0.8038	0.7341	0.6701	0.6080	0.7565	0.7105	2.7888