metadata
base_model: openbmb/MiniCPM-V-2_6
tags:
- generated_from_trainer
model-index:
- name: MiniCPM-V-2_6_ft_20240908_220534
results: []
MiniCPM-V-2_6_ft_20240908_220534
This model is a fine-tuned version of openbmb/MiniCPM-V-2_6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1097
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.3731 | 50 | 0.1153 |
| No log | 0.7463 | 100 | 0.1103 |
| 0.1504 | 1.1194 | 150 | 0.1150 |
| 0.1504 | 1.4925 | 200 | 0.1097 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Tokenizers 0.19.1