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remote_sensing_gpt
gremlin97/remote_sensing_gpt
remote_sensing_gpt is a machine learning model from gremlin97. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as bigscience-bloom-rail-1.0.
should probably proofread and complete it, then remove this comment. --
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.json14.5 MB · 60%
At a glance
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Access
- Public
- Created
- Mar 9, 2024
- Updated
- Mar 10, 2024
- SHA
- c3e302ca
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. -->
remote_sensing_gpt
This model is a fine-tuned version of bigscience/bloom-1b1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8886
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 415 | 5.0368 |
| 5.1787 | 2.0 | 830 | 4.9311 |
| 4.9154 | 3.0 | 1245 | 4.8886 |
Framework versions
- PEFT 0.9.0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Created
- Mar 9, 2024
- Updated
- Mar 10, 2024