metadata
library_name: peft
tags:
- generated_from_trainer
base_model: liuhaotian/llava-v1.5-13b
model-index:
- name: llava_13b_city
results: []
llava_13b_city
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6347
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 |
|---|---|---|---|
| 0.8986 | 1.0 | 9 | 1.0144 |
| 0.2358 | 2.0 | 18 | 1.1164 |
| 0.0721 | 3.0 | 27 | 1.1954 |
| 0.0289 | 4.0 | 36 | 1.3896 |
| 0.0089 | 5.0 | 45 | 1.4742 |
| 0.0073 | 6.0 | 54 | 1.4845 |
| 0.0051 | 7.0 | 63 | 1.5379 |
| 0.0012 | 8.0 | 72 | 1.5769 |
| 0.0015 | 9.0 | 81 | 1.6411 |
| 0.0005 | 10.0 | 90 | 1.6347 |
Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Tokenizers 0.15.1