You can deploy this model and start earning money today!

swadhindas324/
vit-convnext-Mistral-SYDNEY-without-captioning

Name: vit-convnext-Mistral-SYDNEY-without-captioning
Availability: InStock

Views

No views yet

vit-convnext-Mistral-SYDNEY-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	44	1.2376	65.66	0.5431	0.4284	0.3465	0.2760	0.4575	0.4786	0.9774
No log	2.0	88	0.6974	66.27	0.6151	0.5148	0.4371	0.3711	0.5162	0.5474	1.3648
No log	3.0	132	0.6614	66.3	0.7438	0.6503	0.5595	0.4773	0.6512	0.6327	1.9478
No log	4.0	176	0.6721	67.75	0.8124	0.7212	0.6343	0.5552	0.7269	0.7223	2.3770
No log	5.0	220	0.6521	66.13	0.7990	0.7235	0.6458	0.5690	0.7283	0.6924	2.2489
No log	6.0	264	0.6639	68.09	0.7866	0.7020	0.6197	0.5439	0.7180	0.7114	2.2763
No log	7.0	308	0.6893	68.15	0.8273	0.7658	0.7041	0.6454	0.7746	0.7526	2.9048
No log	8.0	352	0.6894	68.74	0.8286	0.7575	0.6900	0.6243	0.7834	0.7400	2.6251
No log	9.0	396	0.7343	67.58	0.8253	0.7407	0.6564	0.5829	0.7493	0.7258	2.5931
No log	10.0	440	0.7883	67.22	0.7913	0.7041	0.6284	0.5625	0.7276	0.7012	2.5651
No log	11.0	484	0.7554	66.74	0.7693	0.6905	0.6187	0.5521	0.7231	0.6736	2.4674
No log	12.0	528	0.7862	68.92	0.7901	0.7107	0.6425	0.5814	0.7274	0.7146	2.5855
No log	13.0	572	0.8002	68.02	0.8016	0.7256	0.6549	0.5922	0.7456	0.7283	2.5073
No log	14.0	616	0.7962	68.65	0.8116	0.7431	0.6754	0.6153	0.7547	0.7385	2.8192
No log	15.0	660	0.8634	67.96	0.7866	0.7026	0.6258	0.5549	0.7320	0.6936	2.5139
No log	16.0	704	0.8357	68.35	0.7945	0.7224	0.6631	0.6119	0.7787	0.7421	2.7519
No log	17.0	748	0.8367	67.63	0.7928	0.7220	0.6579	0.6002	0.7417	0.7053	2.3978