---
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
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# 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