mmo1-math-qwen2.5_vl_3b-sft_mmr1_sft_0503_v10_mathinstruct_onlygemini_ep5
This model is a fine-tuned version of /mnt/amlfs-02/shared/ckpts/models--Qwen--Qwen2.5-VL-3B-Instruct/snapshots/66285546d2b821cf421d4f5eb2576359d3770cd3/ on the sft_0503_v10_prompt and the mm_mathinstruct_gemini_withprompt datasets.
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
- distributed_type: multi-GPU
- num_devices: 256
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- total_eval_batch_size: 2048
- optimizer: Use 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: 5.0
Training results
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.0
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Model tree for mm-o1/mmo1-math-qwen2.5_vl_3b-sft_mmr1_sft_0503_v10_mathinstruct_onlygemini_ep5
Base model
Qwen/Qwen2.5-VL-3B-Instruct