metadata
library_name: peft
license: other
base_model: /home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: 53_lora_sft_ttt
results: []
53_lora_sft_ttt
This model is a fine-tuned version of /home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/ on the bongard_ttt dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- 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: 0.1
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0895 | 0.2137 | 100 | 0.0702 |
| 0.055 | 0.4274 | 200 | 0.0609 |
| 0.0355 | 0.6410 | 300 | 0.0229 |
| 0.0193 | 0.8547 | 400 | 0.0044 |
| 0.0097 | 1.0684 | 500 | 0.0256 |
| 0.005 | 1.2821 | 600 | 0.0008 |
| 0.0029 | 1.4957 | 700 | 0.0003 |
| 0.0003 | 1.7094 | 800 | 0.0002 |
| 0.0002 | 1.9231 | 900 | 0.0002 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1