dpo_f1_baseline
This model is a fine-tuned version of moonshotai/Kimi-VL-A3B-Instruct on the egoblind_dpo_f1_baseline 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.56.0
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for julia225/egoblind-ra-dpo-f1-baseline
Base model
moonshotai/Moonlight-16B-A3B Finetuned
moonshotai/Kimi-VL-A3B-Instruct