metadata
base_model: Qwen/Qwen2-VL-2B-Instruct
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: qwen2-2b-instruct-trl-sft-ChartQA
results: []
qwen2-2b-instruct-trl-sft-ChartQA
This model is a fine-tuned version of Qwen/Qwen2-VL-2B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0574
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1946 | 0.1546 | 10 | 3.2365 |
| 2.5247 | 0.3092 | 20 | 1.7800 |
| 1.1177 | 0.4638 | 30 | 0.5485 |
| 0.4772 | 0.6184 | 40 | 0.4416 |
| 0.4286 | 0.7729 | 50 | 0.4205 |
| 0.398 | 0.9275 | 60 | 0.3643 |
| 0.3027 | 1.0821 | 70 | 0.2035 |
| 0.1021 | 1.2367 | 80 | 0.0645 |
| 0.0591 | 1.3913 | 90 | 0.0597 |
| 0.0592 | 1.5459 | 100 | 0.0581 |
| 0.0575 | 1.7005 | 110 | 0.0595 |
| 0.0608 | 1.8551 | 120 | 0.0586 |
| 0.0583 | 2.0097 | 130 | 0.0588 |
| 0.0599 | 2.1643 | 140 | 0.0570 |
| 0.0569 | 2.3188 | 150 | 0.0579 |
| 0.0577 | 2.4734 | 160 | 0.0574 |
| 0.0536 | 2.6280 | 170 | 0.0565 |
| 0.0567 | 2.7826 | 180 | 0.0583 |
| 0.0611 | 2.9372 | 190 | 0.0574 |
Framework versions
- PEFT 0.11.1
- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0