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---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: idefics2-8b-path_vqa-finetuned-tutorial
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. -->
# idefics2-8b-path_vqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0688
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0779 | 0.16 | 10 | 3.3574 |
| 2.0221 | 0.32 | 20 | 1.2580 |
| 1.0361 | 0.48 | 30 | 1.0355 |
| 0.7289 | 0.64 | 40 | 1.0705 |
| 0.6758 | 0.8 | 50 | 1.0496 |
| 0.5689 | 0.96 | 60 | 1.0893 |
| 0.4038 | 1.12 | 70 | 1.1230 |
| 0.3773 | 1.28 | 80 | 1.0498 |
| 0.3227 | 1.44 | 90 | 1.1104 |
| 0.2934 | 1.6 | 100 | 1.0788 |
| 0.2968 | 1.76 | 110 | 1.0667 |
| 0.3099 | 1.92 | 120 | 1.0688 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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