|
--- |
|
base_model: TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe |
|
|
|
This model is a fine-tuned version of [TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep](https://huggingface.co/TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep) on an unknown 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: 2e-06 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- total_eval_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 5.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.15.1 |
|
|
