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internvl3_5-1b-mvbench-action-sequence – AI Model by PEGurevich | AlphaNeural AI
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PEGurevich
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internvl3_5-1b-mvbench-action-sequence
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peft
safetensors
adapter
lora
transformers
text-generation
OpenGVLab/InternVL3_5-1B-HF
apache-2.0
us
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internvl3_5-1b-mvbench-action-sequence
This model is a fine-tuned version of
OpenGVLab/InternVL3_5-1B-HF
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 7.3737
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: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 6
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 5
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
7.7412
0.4
10
7.5631
7.438
0.8
20
7.4134
7.3872
1.2
30
7.3824
7.3751
1.6
40
7.3748
7.3751
2.0
50
7.3737
Framework versions
PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1