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SmolVLM2-500M-Video-Instruct-coco-kaggle – AI Model by mlevytskyi | AlphaNeural AI
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SmolVLM2-500M-Video-Instruct-coco-kaggle
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transformers
safetensors
smolvlm
image-text-to-text
generated_from_trainer
HuggingFaceTB/SmolVLM2-500M-Video-Instruct
finetune
apache-2.0
endpoints_compatible
us
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SmolVLM2-500M-Video-Instruct-coco-kaggle
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM2-500M-Video-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3318
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 50
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.397
0.1390
50
0.3987
0.341
0.2780
100
0.3579
0.3324
0.4170
150
0.3434
0.3503
0.5559
200
0.3383
0.3481
0.6949
250
0.3340
0.3298
0.8339
300
0.3320
0.3248
0.9729
350
0.3318
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
