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---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: idefics2_ft_augmented_dataset
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_ft_augmented_dataset
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: 0.1871
## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 5000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6338 | 0.0234 | 100 | 0.6474 |
| 0.5748 | 0.0468 | 200 | 0.5899 |
| 0.4678 | 0.0702 | 300 | 0.5603 |
| 0.428 | 0.0936 | 400 | 0.5249 |
| 0.3798 | 0.1170 | 500 | 0.4984 |
| 0.3665 | 0.1404 | 600 | 0.4733 |
| 0.4406 | 0.1637 | 700 | 0.4510 |
| 0.4723 | 0.1871 | 800 | 0.4245 |
| 0.4807 | 0.2105 | 900 | 0.4158 |
| 0.4196 | 0.2339 | 1000 | 0.3971 |
| 0.3443 | 0.2573 | 1100 | 0.3738 |
| 0.4133 | 0.2807 | 1200 | 0.3631 |
| 0.2838 | 0.3041 | 1300 | 0.3334 |
| 0.4134 | 0.3275 | 1400 | 0.3264 |
| 0.2838 | 0.3509 | 1500 | 0.3125 |
| 0.275 | 0.3743 | 1600 | 0.2944 |
| 0.4141 | 0.3977 | 1700 | 0.2839 |
| 0.2498 | 0.4211 | 1800 | 0.2749 |
| 0.2817 | 0.4444 | 1900 | 0.2606 |
| 0.2899 | 0.4678 | 2000 | 0.2526 |
| 0.2695 | 0.4912 | 2100 | 0.2521 |
| 0.2619 | 0.5146 | 2200 | 0.2424 |
| 0.2238 | 0.5380 | 2300 | 0.2373 |
| 0.3049 | 0.5614 | 2400 | 0.2301 |
| 0.1308 | 0.5848 | 2500 | 0.2292 |
| 0.1936 | 0.6082 | 2600 | 0.2190 |
| 0.2479 | 0.6316 | 2700 | 0.2191 |
| 0.1575 | 0.6550 | 2800 | 0.2165 |
| 0.193 | 0.6784 | 2900 | 0.2107 |
| 0.2526 | 0.7018 | 3000 | 0.2114 |
| 0.1574 | 0.7251 | 3100 | 0.2087 |
| 0.1989 | 0.7485 | 3200 | 0.2051 |
| 0.1761 | 0.7719 | 3300 | 0.2013 |
| 0.2223 | 0.7953 | 3400 | 0.1996 |
| 0.2127 | 0.8187 | 3500 | 0.1966 |
| 0.2477 | 0.8421 | 3600 | 0.1923 |
| 0.1931 | 0.8655 | 3700 | 0.1908 |
| 0.182 | 0.8889 | 3800 | 0.1888 |
| 0.1693 | 0.9123 | 3900 | 0.1878 |
| 0.1346 | 0.9357 | 4000 | 0.1853 |
| 0.1484 | 0.9591 | 4100 | 0.1849 |
| 0.1217 | 0.9825 | 4200 | 0.1838 |
| 0.0669 | 1.0058 | 4300 | 0.1844 |
| 0.1292 | 1.0292 | 4400 | 0.1877 |
| 0.1106 | 1.0526 | 4500 | 0.1876 |
| 0.0828 | 1.0760 | 4600 | 0.1875 |
| 0.0485 | 1.0994 | 4700 | 0.1871 |
| 0.0624 | 1.1228 | 4800 | 0.1874 |
| 0.0895 | 1.1462 | 4900 | 0.1871 |
| 0.1 | 1.1696 | 5000 | 0.1871 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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