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--- |
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license: bigscience-bloom-rail-1.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: bigscience/bloom-1b1 |
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model-index: |
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- name: remote_sensing_gpt |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# remote_sensing_gpt |
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This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3832 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.0298 | 1.0 | 829 | 4.7124 | |
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| 4.681 | 2.0 | 1658 | 4.5977 | |
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| 4.6154 | 3.0 | 2487 | 4.5345 | |
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| 4.5244 | 4.0 | 3316 | 4.4902 | |
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| 4.4751 | 5.0 | 4145 | 4.4582 | |
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| 4.4559 | 6.0 | 4974 | 4.4347 | |
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| 4.4124 | 7.0 | 5803 | 4.4158 | |
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| 4.3982 | 8.0 | 6632 | 4.4015 | |
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| 4.3716 | 9.0 | 7461 | 4.3889 | |
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| 4.341 | 10.0 | 8290 | 4.3832 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
