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---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloom-1b1
model-index:
- name: remote_sensing_gpt
results: []
---
<!-- 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](https://huggingface.co/bigscience/bloom-1b1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3832
## 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: 0.0002
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0298 | 1.0 | 829 | 4.7124 |
| 4.681 | 2.0 | 1658 | 4.5977 |
| 4.6154 | 3.0 | 2487 | 4.5345 |
| 4.5244 | 4.0 | 3316 | 4.4902 |
| 4.4751 | 5.0 | 4145 | 4.4582 |
| 4.4559 | 6.0 | 4974 | 4.4347 |
| 4.4124 | 7.0 | 5803 | 4.4158 |
| 4.3982 | 8.0 | 6632 | 4.4015 |
| 4.3716 | 9.0 | 7461 | 4.3889 |
| 4.341 | 10.0 | 8290 | 4.3832 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0 |