End of training
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README.md
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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: 4.9550
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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: 2e-05
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.5928 | 1.0 | 829 | 5.0717 |
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| 5.0339 | 2.0 | 1658 | 4.9774 |
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| 4.9752 | 3.0 | 2487 | 4.9550 |
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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