fine-tuned-model
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1577
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.3104 | 0.5238 | 11 | 6.2900 |
| 1.1695 | 1.0476 | 22 | 0.3160 |
| 0.2075 | 1.5714 | 33 | 0.1577 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Inference Providers
NEW
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Model tree for Sreekumar1608/fine-tuned-model
Base model
HuggingFaceM4/idefics2-8b