8e119f3436
Model: DaDing777/qwen2.5-VL-3B-atm-finetune-rain-ana-finetune-full Source: Original Platform
1.5 KiB
1.5 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | /home/xuke/dch/checkpoint_models/qwen2.5-VL-3B-atm-finetune |
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qwen2.5-VL-3B-atm-finetune-rain-ana-finetune-full
This model is a fine-tuned version of /home/xuke/dch/checkpoint_models/qwen2.5-VL-3B-atm-finetune on the atm_rain_ana 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
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 32
- 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: 1.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1