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fine-tuned-model
Sreekumar1608/fine-tuned-model
fine-tuned-model is a machine learning model from Sreekumar1608. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Jul 19, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- 2134928f
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
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
- License
- apache-2.0
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024