---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloom-1b1
model-index:
- name: remote_sensing_gpt_expt3
  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_expt3

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: 3.5329

## 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: 2e-05
- 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6537        | 1.0   | 938  | 3.5610          |
| 3.5147        | 2.0   | 1876 | 3.5383          |
| 3.4804        | 3.0   | 2814 | 3.5329          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0