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README
License: otherModel 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100.0
- num_epochs: 1.0
Training results
Framework versions
- Transformers 5.9.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
Model provider
minsu0567
Model tree
Base
unsloth/Qwen3.5-4B
Fine-tuned
this model
Modalities
Input
Video, Text, Image
Output
Text
Pricing
Dedicated Endpoints
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Model APIs
Dedicated Endpoints
Container
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