sft
This model is a fine-tuned version of OpenGVLab/InternVL3-2B-hf on the bcr dataset.
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu129
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for pltops/intervl-2B-full-sft
Base model
OpenGVLab/InternVL3-2B-Pretrained
Finetuned
OpenGVLab/InternVL3-2B-Instruct
Finetuned
OpenGVLab/InternVL3-2B-hf