metadata
base_model: muhtasham/MiniCPM-V-2_6_ft_20240908_220534
tags:
- generated_from_trainer
model-index:
- name: MiniCPM-V-2_6_ft_20240908_220534_ft_upsampled_new
results: []
MiniCPM-V-2_6_ft_20240908_220534_ft_upsampled_new
This model is a fine-tuned version of muhtasham/MiniCPM-V-2_6_ft_20240908_220534 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3133
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10000
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0543 | 0.2430 | 100 | 0.2796 |
| 0.0791 | 0.4860 | 200 | 0.3113 |
| 0.0233 | 0.7290 | 300 | 0.3244 |
| 0.1447 | 0.9721 | 400 | 0.3133 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Tokenizers 0.19.1