File size: 1,913 Bytes
a10bf1f d782af6 a10bf1f d782af6 a10bf1f d782af6 a10bf1f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
library_name: peft
tags:
- generated_from_trainer
base_model: liuhaotian/llava-v1.5-13b
model-index:
- name: llava_13b_neighborhood
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. -->
# llava_13b_neighborhood
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4711
## 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.896 | 1.0 | 9 | 1.0162 |
| 0.2277 | 2.0 | 18 | 1.1135 |
| 0.0717 | 3.0 | 27 | 1.1909 |
| 0.0271 | 4.0 | 36 | 1.4078 |
| 0.0083 | 5.0 | 45 | 1.4837 |
| 0.0087 | 6.0 | 54 | 1.5063 |
| 0.0087 | 7.0 | 63 | 1.4929 |
| 0.0011 | 8.0 | 72 | 1.5387 |
| 0.0008 | 9.0 | 81 | 1.5352 |
| 0.0032 | 10.0 | 90 | 1.4711 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Tokenizers 0.15.1 |