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Amirmnsh/
Finetuned-llama-11B-VI-Vqav2-v-0-1

Name: Finetuned-llama-11B-VI-Vqav2-v-0-1
Availability: InStock

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Finetuned-llama-11B-VI-Vqav2-v-0-1

This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct 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: 2e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch 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: 100
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss
1.4838	0.0667	100	0.5338
0.5618	0.1333	200	0.5331
0.5285	0.2	300	0.5164
0.5217	0.2667	400	0.5143
0.5076	0.3333	500	0.5129
0.525	0.4	600	0.5107
0.5047	0.4667	700	0.5093
0.4999	0.5333	800	0.5082
0.5287	0.6	900	0.5069
0.5153	0.6667	1000	0.5060
0.5074	0.7333	1100	0.5062
0.5095	0.8	1200	0.5050
0.5237	0.8667	1300	0.5040
0.5024	0.9333	1400	0.5027
0.5076	1.0	1500	0.5026