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MiniCPM-V-2_6_lora_20240917_011727
muhtasham/MiniCPM-V-2_6_lora_20240917_011727
MiniCPM-V-2_6_lora_20240917_011727 is a machine learning model from muhtasham. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024
- SHA
- 43282d57
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
MiniCPM-V-2_6_lora_20240917_011727
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: 1.3224
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=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3412 | 0.0349 | 100 | 1.3380 |
| 1.3477 | 0.0698 | 200 | 1.3300 |
| 1.3057 | 0.1047 | 300 | 1.3255 |
| 1.3116 | 0.1396 | 400 | 1.3224 |
Framework versions
- PEFT 0.12.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Tokenizers 0.19.1
- Library
- peft
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024