---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: AI-Sweden-Models/gpt-sw3-1.3b
model-index:
- name: gpt_icesum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt_icesum

This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7838

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9006        | 0.22  | 50   | 1.8021          |
| 1.907         | 0.44  | 100  | 1.7894          |
| 1.815         | 0.67  | 150  | 1.7845          |
| 2.0118        | 0.89  | 200  | 1.7850          |
| 1.7555        | 1.11  | 250  | 1.7863          |
| 1.8844        | 1.33  | 300  | 1.7857          |
| 1.7689        | 1.56  | 350  | 1.7851          |
| 1.7703        | 1.78  | 400  | 1.7838          |
| 1.8758        | 2.0   | 450  | 1.7838          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2