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---
library_name: peft
tags:
- liuhaotian/llava-v1.5-13b_3.0
- generated_from_trainer
base_model: liuhaotian/llava-v1.5-13b
model-index:
- name: liuhaotian/llava-v1.5-13b_3.0
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. -->
# liuhaotian/llava-v1.5-13b_3.0
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_3.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_3.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0682
- eval_runtime: 40.6781
- eval_samples_per_second: 11.112
- eval_steps_per_second: 0.369
- epoch: 2.0
- step: 30
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20.0
### Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Tokenizers 0.15.1 |