metadata
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: HuggingFaceM4/idefics-9b
model-index:
- name: idefics-9b-YBT-Scores
results: []
idefics-9b-YBT-Scores
This model is a fine-tuned version of HuggingFaceM4/idefics-9b on a dataset of ybalancetest. It achieves the following results on the evaluation set:
- Loss: 2.9246
Model description
VLM to assess y balance test
Intended uses & limitations
This is trained only for visual QA on y balance test.
Training and evaluation data
It is based on a dataset ybalancetest
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1393 | 2.76 | 10 | 2.0003 |
| 1.4136 | 5.52 | 20 | 1.5828 |
| 1.1321 | 8.28 | 30 | 1.5916 |
| 0.8633 | 11.03 | 40 | 1.6502 |
| 0.6091 | 13.79 | 50 | 1.8128 |
| 0.406 | 16.55 | 60 | 2.0350 |
| 0.2218 | 19.31 | 70 | 2.3489 |
| 0.1255 | 22.07 | 80 | 2.6919 |
| 0.0711 | 24.83 | 90 | 2.8418 |
| 0.0606 | 27.59 | 100 | 2.9246 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2