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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: AI-Sweden-Models/gpt-sw3-1.3b
model-index:
- name: gpt1B_domar_finetune
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. -->
# gpt1B_domar_finetune
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8420
## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.91 | 0.79 | 200 | 0.8529 |
| 0.7817 | 1.59 | 400 | 0.8483 |
| 0.9032 | 2.38 | 600 | 0.8458 |
| 0.8597 | 3.18 | 800 | 0.8439 |
| 0.8052 | 3.97 | 1000 | 0.8421 |
| 0.723 | 4.77 | 1200 | 0.8420 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2